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Paper Citation Record · LEDGER

Cross-Task Generalization via Natural Language Crowdsourcing Instructions

As of 7 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 25 inbound Pith citation observations for arXiv:2104.08773.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2104.08773 v4

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T01:57:29.380571Z

measured 125 of 125 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:17.497249Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 107 outbound references displayed

  • verified exact14
  • verified fuzzy50
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch8

External citation measurements

730
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a8563a63-62e9-477f-8b2f-de50167d4d73 · outbound

This paper cites Proceedings of EMNLP , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of EMNLP , pages=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.763749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:50f32eab515b0854dab36fa0ce3b0c9e737e9e38f970e25188b230cb318040ff

Observation 52e0bb47-7670-4b14-93ed-41ea4f7f2139 · outbound

This paper cites Proceedings of NeurIPS , volume=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of NeurIPS , volume=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.770919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:7f4ef7d6bf0d605353a76735ba4b7efdb175b83daab02905b56743f47f5ce972

Observation 6cb734d7-dc8d-4097-90a6-3f44765fc9f0 · outbound

This paper cites 1960 , publisher=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions 1960 , publisher=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.774534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:059e245beab5dbbce6f85445083d4a281768cbd07377b64011b4f63ded5df031

Observation b1c61b51-0cf4-4c58-856c-c51d8647ccab · outbound

This paper cites EMNLP , year=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions EMNLP , year=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.778577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:17eb7ee53d09ab8720551e2e5fc21d2123940d48edf24a24d09a397a1e7a7e4b

Observation f275907d-44cb-4db5-b881-a81b318b6757 · outbound

This paper cites Unsupervised Data Augmentation for Consistency Training , url =.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unsupervised Data Augmentation for Consistency Training , url =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.781819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:0efbd7d4e9e77363a7bb51ffc6dd4c1bf651f549502e2260ae950c82a92de9f8

Observation 765f9c84-8a14-46b3-a998-31a38e398c39 · outbound

This paper cites AI Magazine , volume=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions AI Magazine , volume=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.784787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:3e8e449384f6a9d43c4038d2d5ae73ae19350068bcd2d236dec562bd4e653937

Observation 2187ae1d-a253-42f7-b888-228eeed57593 · outbound

This paper cites Proceedings of NAACL-HLT , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of NAACL-HLT , pages=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.788259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:beb60a8be92e796773329fa013e24332fe1efe6dc7cf97461da8838a79b0884f

Observation e9f1f171-768a-4a75-aea8-29e92c798fb1 · outbound

This paper cites Logan IV and Eric Wallace and Sameer Singh , title =.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Logan IV and Eric Wallace and Sameer Singh , title =

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.791921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:592c75f13ec982e5e6d2d45cf703eec8dd3c6a9d67bc4f123f940848b3672925

Observation a24eee9d-621a-4f55-bdf7-6ead05c63a3f · outbound

This paper cites Neural Data Augmentation via Example Extrapolation.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Neural Data Augmentation via Example Extrapolation

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.492862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:e601ecc8ac829320713d65112f9d9326e83e0d9c89ea92da0638e4e03f994079

Observation 0feeef61-8951-439a-babd-3dd803cf5b7f · outbound

This paper cites The Natural Language Decathlon: Multitask Learning as Question Answering.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions The Natural Language Decathlon: Multitask Learning as Question Answering

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:57:29.559951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:51a0431ff6beac37e2fcb1e8b625d936fd64a9edad644928c1a36614b239e202

Observation f2aa1b6d-f489-4120-a7f9-15405eb772da · outbound

This paper cites 2019 , url=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions 2019 , url=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.795187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:e5eccb142c8461f8e51ec2bc9daaad7276b68cadbdaf07e896fa174b68e5ebe8

Observation 342031d3-f5af-43f7-b8d7-0607f6be8981 · outbound

This paper cites Unsupervised Commonsense Question Answering with Self-Talk.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unsupervised Commonsense Question Answering with Self-Talk

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:57:29.539473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:4d3cb1f91eeb64262ce05cf63d28d88486b872717edfe72c94b5927b68a9e51e

Observation 16dff007-2f91-4d45-9070-e109f4612323 · outbound

This paper cites Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.553886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:5f359b65de52ad2971bf19831d06d60a737bb86cd4efde339b51f26f19e6744c

Observation 7ad7167a-0b6c-4547-81a2-048e36dc2e97 · outbound

This paper cites Journal of instructional development , volume=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Journal of instructional development , volume=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.798739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:6d79c31827296c706571b6ca6dc93d7069a900cebc71f68075c6d7fd02606f78

Observation 8543792e-2e95-4428-b62b-32b9bc96da80 · outbound

This paper cites GPT Understands, Too.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions GPT Understands, Too

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.423919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:e64a2f9ac2274b2173575d938414d41c75aba37c0daaab6f0404d80900480d59

Observation a84ec4fd-3f1e-40e4-a07c-70e0ac1a6e85 · outbound

This paper cites Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.432660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:960f2ed1dcb3d98aed2248bfe3015c70ca28a9a3addfb075592e197768cbf4ea

Observation e79e6dea-afac-40fa-93c7-4704a1ac093b · outbound

This paper cites It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.438331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:5c6bb8d00394e84d34338addb24f5dd4842464819aa9b4e70fb5e7824cf667a6

Observation c3673821-bd27-457e-a0dc-11ed02b98b5b · outbound

This paper cites Plug and Play Language Models: A Simple Approach to Controlled Text Generation.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Plug and Play Language Models: A Simple Approach to Controlled Text Generation

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:57:29.444860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:a2cf6b55139ce26c36bb2210b44d467f2a1b2688792cde3184a04575c5e7a9dc

Observation b440f7fa-d86a-497c-90b7-078746bf0c51 · outbound

This paper cites Improving and Simplifying Pattern Exploiting Training.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Improving and Simplifying Pattern Exploiting Training

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.465443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:4008c61b4f7694cdd41532fe353da7b01249d6eb65c9a160e6b6363a721a1bf4

Observation b4d897df-2d78-4663-97d6-e0014ea9d4ae · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:57:29.484305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:b1804572c35dffb728ed63e4a96c3a29bae354e45e9161b2f569a8bc1282143f

Observation aed11d53-4d66-434f-abc0-7c34cff62763 · outbound

This paper cites Proceedings of the IEEE/CVF , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of the IEEE/CVF , pages=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.802713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:8cf926c1415f0d12c19e4adeef9eb9db783aeaa6901e332dff74895073c7fb23

Observation eb41966b-211c-42fe-badf-fda1338307c9 · outbound

This paper cites PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:57:29.499816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:c204fb137bf1dd480034cb089145bccd2800d276ca4034a48f3257f23dbff8b6

Observation b17c5d72-e9ae-4b0a-b70a-846095c19ca5 · outbound

This paper cites Proceedings of NAACL , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of NAACL , pages=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.806919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:731ba407ce20aabc37f14bc3696d340c5a8b3b730705cfbcd4a7001227e825f9

Observation f163b72a-c415-4949-a677-b29ee80763c0 · outbound

This paper cites OpenAI blog , volume=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions OpenAI blog , volume=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.811013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:e7f3c61566d94a1d7b515211a1be6b584a1fa8effa2baab045d97f381ab6e627

Observation 22ab12f9-4b75-4034-9778-66f1eca1a9ab · outbound

This paper cites Proceedings of the 31st International Conference on Neural Information Processing Systems , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of the 31st International Conference on Neural Information Processing Systems , pages=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.815723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:585eeb9a90d121daaa5379583c3f86f0d30d98cc0fce143d67b8d9f4684a0bde

Observation 8f227662-cddc-42db-ad08-d0478e031a82 · outbound

This paper cites Proceedings of workshop on evaluation metrics and system comparison for automatic summarization , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of workshop on evaluation metrics and system comparison for automatic summarization , pages=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.819028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:0276eabf974b2a925a364d0645a05238b8bde90b99c68f9cdafe7c73d67d61ad

Observation b7e5a74b-d6ac-4a3a-a816-43123385e1f2 · outbound

This paper cites Proceedings of the 2nd Workshop on Machine Reading for Question Answering , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of the 2nd Workshop on Machine Reading for Question Answering , pages=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.822633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:618ba2cd6e13a607bf59f4c584a7ba273944dc6b623495389a9db9e0dc1720a3

Observation ea379c20-c491-4be9-bd0e-123469726416 · outbound

This paper cites Proceedings of ECCV , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of ECCV , pages=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.826132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:2afb1533769b4b7416669c04cc6dce5371fac0d8e0699e3f3828b0699c998f14

Observation 4ff8d61b-41e6-4866-ba68-8c193ed8e5e0 · outbound

This paper cites 2011 IEEE 11th International Conference on Data Mining , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions 2011 IEEE 11th International Conference on Data Mining , pages=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.829557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:a8e52bfdd77a44b19fd818b86f8928aa0e3009d9ddd5ec746db0d195d08e59a3

Observation 46c8642c-288a-4833-b0e5-b478dac467aa · outbound

This paper cites Proceedings of ICML Workshop on The Continuum from Labeled to Unlabeled Data , volume=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of ICML Workshop on The Continuum from Labeled to Unlabeled Data , volume=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.832584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:30ee76904fadb12643e6fe62d0613abe9abdfa15d42079db5a370bd5cc829314

Observation 123df70e-eda5-44ab-82b4-4e1478e5c980 · outbound

This paper cites Proceedings of the VLDB Endowment , volume=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of the VLDB Endowment , volume=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.836104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:089fc37eb812e5c03065ef9ca3a186a7ee18104206bb121e6ec94c807582d6f0

Observation c09e2aa1-4742-4ccc-919b-8b9bbfd3bd09 · outbound

This paper cites 2013 , organization=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions 2013 , organization=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.839215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:0603445669f3ec4ab6abdae076b8be4eeaa0bd36659a00a1ea89bc07042f334d

Observation fd7e07db-68dd-4240-8cb1-bd05af7586da · outbound

This paper cites Proceedings of LREC , year=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of LREC , year=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.841973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:1aea060fdfc4c8010cc72b7c195a2842998c971e0437db12e08d8b9acd4f65cb

Observation 576bf034-4938-4b8c-8406-14140d4a207c · outbound

This paper cites What Makes Good In-Context Examples for GPT-$3$?.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions What Makes Good In-Context Examples for GPT-$3$?

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:57:29.534677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:2e4c5ce0a71653305eb1b41838b8426e2706515c15ccc761162855834d9b508c

Observation f16e8f18-c0d1-4b70-aa40-68d4d5e137b7 · outbound

This paper cites Machine learning , volume=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Machine learning , volume=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.845034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:557ebaa6c795ba1de2de261887c70ce66ab3c294c9ae8c8e4898e21ef90b864f

Observation 0801041b-09a0-4721-802a-020753bbdb15 · outbound

This paper cites Proceedings of CoNLL , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of CoNLL , pages=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.563471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:bbaa9f6718bbee86662225a4744415b21ad3df0327f50c00e9e7f577dba06087

Observation 2263b136-827e-44fa-8b13-4ff1310bc0f9 · outbound

This paper cites Machine learning , volume=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Machine learning , volume=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.566563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:0ea55a701f4521b7293b841d6bad08bc2a8eec5a61d11e393640eb44ac0d5c48

Observation 2a2ab7ff-8098-4487-b075-993897fad169 · outbound

This paper cites Proceedings of ACL , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of ACL , pages=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.569661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:468de5982317842b859e00dbd377e61a4cee464af1e4e01ec66f00dc339b7bda

Observation c61c878f-1464-4f2f-8990-2a1d6409f932 · outbound

This paper cites Proceedings of EMNLP: Findings , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of EMNLP: Findings , pages=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.572669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:8c68b3012a1d6d060c4a5e69124044f682377fa2e823c28b23110a6758b65af8

Observation c4638113-a844-404f-baca-a11b1bd1b0f9 · outbound

This paper cites ArXiv , year=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions ArXiv , year=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.575749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:2c099f2759f97e2ab388e104642f6a885744387edf911b2c323ce7d799260ebb

Observation 5dace6d1-4ac7-499d-a19a-a57bdeb996ba · outbound

This paper cites Proceedings of IJCAI , year=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of IJCAI , year=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.578877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:34acb481c3229a982e44a3581362e2317f87224751f5ccefc7a540066a66f80f

Observation 5acc3ab6-06e5-4aaa-91fa-b5bd0c1680a9 · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:57:29.582257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:92961b86c70e3c311d7d8b01c8f5df5f0c03b9fbdb29947ab14f704b9e0011b8

Observation 0cdb8716-69f6-4c23-a86f-2a05043ef91a · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:57:29.585486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:096c9772853063ba9dac5c9cf53320a00899db9f5e1336d3210e9e67ed262ef4

Observation 7e2dcc91-c873-4e59-ad08-7cccde47b82c · outbound

This paper cites Journal of Machine Learning Research , volume=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Journal of Machine Learning Research , volume=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.589292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:223f88b1d395d9f16c42f21ac7dc5d438a1d09dd4b5a73842f905b9b410ad203

Observation 14efdf8d-8fa7-4170-8fcb-5d02e5ddfcc7 · outbound

This paper cites Joshi and Danqi Chen and Omer Levy and Mike Lewis and Luke S.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Joshi and Danqi Chen and Omer Levy and Mike Lewis and Luke S

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.592468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:343e4272f56dee47434e9924efba6ec7dcf6545decedf7562e9f6ff95b3b8fa7

Observation 11f63c6c-c9dd-4a77-bf5d-2d9715516bdc · outbound

This paper cites International Conference on Machine Learning , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions International Conference on Machine Learning , pages=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.596296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:0f80da67b406c509433291c489e89697bf39abffb71c81313b67062b026b7954

Observation 8299d3c2-27c0-459e-9e14-de04790ce9dc · outbound

This paper cites Proceedings of NAACL-HLT , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of NAACL-HLT , pages=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.600160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:26fb99637950f6118f38de2d9dee47c2235f8cb7e663f9c1922762e1990fb308

Observation 970e2c64-0fdd-4d78-91fe-b724685564dc · outbound

This paper cites SPoC: Search-based Pseudocode to Code.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions SPoC: Search-based Pseudocode to Code

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:57:29.548892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:17144b3bfe59c3f56f6b2fea895abc3f487398707f3d45af6e967b381add5b99

Observation d8b348b2-e8c9-427b-9073-3d445636aa32 · outbound

This paper cites Proceedings of EMNLP-IJCNLP , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of EMNLP-IJCNLP , pages=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.603976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:fe8bc4d36a7291fb2d670fce6e690aefdad073efbc20d17a76f28c6be02f494c

Observation 6f8b1e3e-6b20-40d1-9c40-d8fc85a476fc · outbound

This paper cites Going on a vacation.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Going on a vacation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.607037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:8153641a869bb829aafeac2c38ae3da07c0afffa01c5b0155c9523764c7c22b9

Observation d5dbb9ef-cf07-45bd-9b5a-360f72eb675e · outbound

This paper cites Proceedings of EMNLP-IJCNLP , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of EMNLP-IJCNLP , pages=

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.610469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:4ae64e016d831411394ab6f6ac9fb9ab52a0e182da458f424aafcde03cc93b72

Observation 898c3ce4-5fd3-424a-934c-37ad21aa9c23 · outbound

This paper cites Proceedings of the AAAI , year=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of the AAAI , year=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.614078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:7744a7d4a73de5518ebe15bf81156621a88556fe4bcb870cb5737c68799adf7a

Observation c3ef7ac7-d1a4-4023-9d8c-e53b5a85c919 · outbound

This paper cites Proceedings of NAACL , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of NAACL , pages=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.618013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:8fb07bd19107cdda75d5eb3e1846adda960a46c705af8bfe41ba2d61da98b2cf

Observation 1e0c58ad-c665-41dd-8599-8ffda998f5bd · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:57:29.621095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:154728c781d800648199a739ca2db3401cbee3ff71466d28f4627643bbab9627

Observation 5a2d4e3c-0d23-48f3-baae-7580cf3db511 · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:57:29.624046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:a4e7e370caf8291d64519b474446ab8bcea3407d85ae47efe6102716db7fb9c5

Observation f6034717-2e78-491c-ac16-fffabb40d5d9 · outbound

This paper cites A Call for Clarity in Reporting BLEU Scores.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions A Call for Clarity in Reporting BLEU Scores

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.627253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:f65b30ff375e47df2cde533481c460c2ad5ea69d419014b7430a322cfdeb30c7

Observation c97360ae-8ff3-4ab2-9612-dee76b932e41 · outbound

This paper cites Proceedings of ACL , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of ACL , pages=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.630580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:4110384301dd204271404cadb3f6d4b801339dd2e5b5365f98d38387b4f2f0c4

Observation b3e067c0-4e14-4d94-a400-da44579ce89e · outbound

This paper cites Text summarization branches out , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Text summarization branches out , pages=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.634430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:b44ee9fa4028081abbd981d4f8c52ab470f07ba85a2eefb5b2c3f37ee65b3b6d

Observation 002f3cf5-8ee7-4587-b572-df6dad8896af · outbound

This paper cites Language-Conditioned Imitation Learning for Robot Manipulation Tasks.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Language-Conditioned Imitation Learning for Robot Manipulation Tasks

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.507596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:bf0aad605940911c0fe5ab0c4c61eff372f22cd800dbd1b354ff131e95ab20e1

Observation a6a04fd7-b39f-4d88-afd0-a10659f4a764 · outbound

This paper cites Reframing Instructional Prompts to GPTk's Language.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Reframing Instructional Prompts to GPTk's Language

Reference 67

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:57:29.529757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:5e5609e2a8e4759e95735f79875f82859a05bfc3e4d4126dead203135f8811d8

Observation 047826fb-7fec-40c8-b84c-d8623c7ea0da · outbound

This paper cites Proceedings of EMNLP , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of EMNLP , pages=

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.637255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:ed1ec726711a526e4482db7fc483844e5cafb93763cfb766bffd0f9d756f904b

Observation 9ee60783-4e0e-4ac9-bd56-4b06c66f3a08 · outbound

This paper cites Language Models are Few-Shot Learners , volume =.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Language Models are Few-Shot Learners , volume =

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.640186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:096132aed319d21118624e26aaffc0ceaa260432f4fb0fc4c19b39a034bc342e

Observation 02b51107-84df-4a96-b0e1-8a8b7dea588a · outbound

This paper cites Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems , pages=

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.643236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:636e5e4430e6e2d9c8931ae75c4713145d77bd76de55ac709cc4822a8bfbbb94

Observation 2edb87c0-8bd1-42cd-ba27-0dc2537fa472 · outbound

This paper cites Proceedings of ICLR , year=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of ICLR , year=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.645818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:fcb159e75c70270ffb057cd3ff2e09f6906db428c632d772ec6d655782cc4b88

Observation 50f1f0e9-b473-4fc0-beb0-88a8f8492728 · outbound

This paper cites Proceedings of EMNLP , year=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of EMNLP , year=

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.648300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:84d3c560d1bf0b79e3385afc7a51831010b68c3f98870709eec9de457520591a

Observation b5b41d34-cbd9-49e6-b53a-178b0f96c1b4 · outbound

This paper cites Proceedings of ICLR , year=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of ICLR , year=

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.650752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:bd6d5ffae1f432b8d26088d3b3545ce5a5a9c9c3d6841230df3214024a05affd

Observation 7f222865-2a09-4d96-a9e8-449c42841eb4 · outbound

This paper cites Proceedings of EMNLP , year=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of EMNLP , year=

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.653436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:4218fc5ec48786f8a8389f62914c5b72a22e22df926debce84f2625de4a5d3c6

Observation 8d896ca2-8e68-4a63-89b3-d2f398e6d3e2 · outbound

This paper cites Proceedings of ICML , pages=.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Proceedings of ICML , pages=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:57:29.656324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:000bd84cd31695e911a2f99a913ca1d4ae9f981551a932de1bab86f3249b42f7

Observation d50c6ef3-381f-4a72-9ffd-c7639a0eacbf · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:57:29.659174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:292c5c41ae6757eb06bde7e758bb12c6edcec01d6be3a6dd6fee045423984a75

Observation ac5888d5-dfe0-4b8e-b824-adc48a66d31a · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:57:29.662209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:b61785d98e6000f6a7e367634cec0123350fccdcf9a3d564b7675fa749b5b11c

Observation ef5dbc95-330d-410a-baf8-366f346c575d · outbound

This paper cites Longformer: The Long-Document Transformer.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Longformer: The Long-Document Transformer

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-05-18T01:57:29.476549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:c846629cec1965c330a2e932fd10306b2710fe5e6dbfa91611c85a84668e2f5e

Observation e5e59a2c-a89a-40d8-a9ac-c20f1a362e52 · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:57:29.665549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9d6bcda3-ff64-42bc-b0f4-3de6f942a555 · outbound

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Reference 80

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Observation 520637e2-ead5-4f13-90d7-b325ef867bae · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 81

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Observation c44b1b02-8162-4c39-b78b-b02096a6321a · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 82

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d6f3fd2c-1b37-4c28-8422-abf2d4c25962 · outbound

This paper cites The Turking Test: Can Language Models Understand Instructions?.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions The Turking Test: Can Language Models Understand Instructions?

Reference 83

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0a46f105-c4d5-4568-9c68-56273700a716 · outbound

This paper cites Towards General Purpose Vision Systems.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Towards General Purpose Vision Systems

Reference 84

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7b2deba0-7d0d-465b-91e4-8dd87314ed9a · outbound

This paper cites When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data

Reference 85

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2fa0a907-3e84-4163-98d4-aaed45eb94f8 · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 86

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bba79929-1eb5-42b2-9ff8-83a5faca9ecc · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 87

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 89bbbb5c-8045-4e42-b3ec-dd831f41415a · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 88

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6fca6f00-8521-4e84-9eeb-42a82178a6f2 · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 89

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9fb069a5-fba5-4637-ba93-e3fe3356e9c3 · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 90

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1bc74dcb-c104-4d32-97d4-4c9e4653ec52 · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 91

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9b923a83-01a9-4d42-9e20-5402a7f5b1fa · outbound

This paper cites an unresolved cited work.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 92

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 63468487-5be5-4b05-ae02-f08b8e1b98db · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 93

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation deed3ba5-708d-4912-94b2-26750eaf7c45 · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 94

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6054518d-deed-42c1-8403-41b01124ab71 · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 95

Resolution
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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9e6616e3-3325-488e-ab7c-b6ef3fa540e1 · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Reference 96

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8823b28d-7bd5-49f0-8a46-935b0098b804 · outbound

This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 97

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation faac26d9-afe6-4d44-96d9-6d400cea0a3e · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 98

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Source-reported events for the cited work

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Observation 66d8c4ea-758f-478e-a452-765e90d35b8f · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks

Reference 99

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Source-reported events for the cited work

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Observation 18c15b07-ac64-4bf6-99e1-51fb9859960d · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 100

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e932f7b8-3789-47d6-8225-6a2a2715aaaa · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 101

Resolution
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Source-reported events for the cited work

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Observation 84757dbb-214c-4e18-87b4-953ccb0e2e50 · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 102

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5418e468-8594-4377-a85c-df3fb770a697 · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 103

Resolution
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Source-reported events for the cited work

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Observation b6c2ed5e-ed2d-46b3-8616-38dc60bea48f · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 104

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d7399f77-b9c8-4313-adb2-469a82a0dbdb · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 105

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Source-reported events for the cited work

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Observation 42578394-d23f-4770-8860-c15ec931270f · outbound

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Cross-Task Generalization via Natural Language Crowdsourcing Instructions Unresolved cited work

Reference 106

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 807bf759-4f8b-4551-aa85-f2c63077ea77 · outbound

This paper cites Dai, and Quoc V Le.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Dai, and Quoc V Le

Reference 107

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

Observation 6ec9a24d-23ec-403e-a0d1-46657d834892 · inbound

Multitask Prompted Training Enables Zero-Shot Task Generalization cites this paper.

Multitask Prompted Training Enables Zero-Shot Task Generalization Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 38

Resolution
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Source-reported events for the cited work

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Observation 6799301f-cce8-4a1a-8fe0-51f326b9d72b · inbound

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? cites this paper.

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 228

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a32adfba-07a1-4e55-816f-b0393d049491 · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 205

Resolution
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Source-reported events for the cited work

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Observation b2fc5103-797a-460a-9e3c-88973ca45451 · inbound

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cc2b8026-7514-4a5b-b6cd-8eb20cf60f40 · inbound

ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.

ART: Automatic multi-step reasoning and tool-use for large language models Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 159

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b3b60760-69fe-4464-a775-e10d6d0dfea3 · inbound

VideoChat: Chat-Centric Video Understanding cites this paper.

VideoChat: Chat-Centric Video Understanding Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 90ffc997-eb52-47b2-b0cc-c5dc1a19b527 · inbound

LIMA: Less Is More for Alignment cites this paper.

LIMA: Less Is More for Alignment Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 44

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 17fa6226-347f-4d05-adaf-a26ac05e6539 · inbound

PandaGPT: One Model To Instruction-Follow Them All cites this paper.

PandaGPT: One Model To Instruction-Follow Them All Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2ef62a31-4c3d-47e8-814e-485108b2bb32 · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3ee55237-4053-4176-bca6-1209eb5552d8 · inbound

Gemini: A Family of Highly Capable Multimodal Models cites this paper.

Gemini: A Family of Highly Capable Multimodal Models Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-05-24T05:03:55.367547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-24T05:00:28.453838Z digest=sha256:4a10ae335eb177ca44e38bf9e8299af8a3eea2e87868cea1ecb1bac3ca156744

Observation 0149cd98-8d07-4f7b-9395-33996d42f4a1 · inbound

Self-Rewarding Language Models cites this paper.

Self-Rewarding Language Models Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:57:29.846007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T12:01:42.290502Z digest=sha256:878765afa6b71e90d6a9e01e4017329b65ca2e0424a114c410772c3b8a0ce5b0

Observation 08f516d7-66be-4751-84c5-fb363c7d09f5 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.846007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:1d40d368b8b91aafd52a68ab41b38c4caf098c47b0dbd8bc3986bda1463180e1

Observation 1d48c755-9896-4d46-b952-3a27f2aad6f4 · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.846007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:3c6e14a0684eab672901bc5008cde125ce0231ca278bb42006a04e1b71037c34

Observation e0695c5e-6252-4f86-a87a-998c8d7cbe64 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 184

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:57:29.846007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:4893e7786adc032e5ee66d98c0100231f2c2ee69f4cca182593d39ff8f42c04c

Observation ccc39e39-ebd0-4eb6-9b93-e4762006f623 · inbound

Lessons from the Trenches on Reproducible Evaluation of Language Models cites this paper.

Lessons from the Trenches on Reproducible Evaluation of Language Models Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:57:29.846007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T18:44:49.519995Z digest=sha256:102793245adcd55cd195505d8a6740022d0c65f5083a44d1cadf0506bc79adb4

Observation ea39cfd5-e27a-4d09-ba65-aaca128c59da · inbound

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark cites this paper.

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.846007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T15:51:04.674346Z digest=sha256:33c466bb65a850861ff8bf32655a14619cec8066261bb52c9e9587bb27453822

Observation f98a18c7-743a-46d7-959c-d7b947ca2b4f · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 203

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.846007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T17:30:02.803757Z digest=sha256:bd34ae23b58dba13c9caa2cb2d04795598f4137c09e5e2f4e2d5cf462daa99f1

Observation 46094400-a76d-4294-9efe-e2ad7716f99c · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-22T18:36:58.864092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T18:36:48.376877Z digest=sha256:c352d464dce594cf6c18e1a5cad360a79895cfea47d014692481bfb375fa6aef

Observation c58b7603-9fb9-44b5-9b8b-180a6e2a7b18 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 135

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:17.497249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.497249Z digest=sha256:cb9cfe532c61b77c6b4c489ea2ef98e4ef60c23fb1238db656ab065244388935

Observation 3cbed574-85f9-45fa-905c-b59b087e2aed · inbound

How Many Instructions Can LLMs Follow at Once? cites this paper.

How Many Instructions Can LLMs Follow at Once? Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T17:13:47.824631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:13:47.824631Z digest=sha256:ec846092ce5da8e73b9800fef3a63341abf0e4badcaa0ec65f44a1187278bd2a

Observation f0757b55-9988-490f-bf4c-d297dde9a263 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 134

Resolution
unresolved
no resolver link, observed 2026-08-06T14:13:06.426284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:13:06.426284Z digest=sha256:4763c79bbee219df968d7ad3514a05d4ce5d9bf7f847846aa7f6ff317c535435

Observation e3bac6bf-ace4-4f62-a5b7-c166b0985b93 · inbound

Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach cites this paper.

Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-05T21:04:55.745015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:04:55.745015Z digest=sha256:395bb06054296cba65d222ee5726a5b94ad2b771f4dfe77085ce87125140a247

Observation a7f806cb-9f78-40f3-bb36-eb58fd1c5b31 · inbound

PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data cites this paper.

PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.846007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T23:15:52.444217Z digest=sha256:d05632296c3ec24170393575171507323ce256d6a028661397927b0e4c99efd7

Observation 58093d5a-b21a-4de3-be17-02359cd04dbc · inbound

Automated Detection and Classification of Delusion-related Content in Naturalistic Audio Diaries Using Multi-Agent Language Models cites this paper.

Automated Detection and Classification of Delusion-related Content in Naturalistic Audio Diaries Using Multi-Agent Language Models Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T13:04:39.025539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:b396b30773e66528970e2135dae9857fef604d1b0536fe4232ed614b464bec39

Observation 4d74fc79-1dfc-40f0-bbfd-bdc9192c4220 · inbound

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization cites this paper.

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 37

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T02:35:15.857955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T02:32:19.425550Z digest=sha256:dfd0f2b2d1ac34bfab5d30aae6bde48304e38b03ec439f318db3ec6c1d4cde62