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Paper Citation Record · LEDGER

Deep Research Pretraining via Predictive Navigation

As of 19 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2608.00432.

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

pith.paper-citation-record.v1
2608.00432 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:24:31.344123Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

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  • verified fuzzy27
  • unresolved36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e493704e-d9a9-4d8e-8c91-887850c10c30 · outbound

This paper cites Attention is All you Need , url =.

Deep Research Pretraining via Predictive Navigation Attention is All you Need , url =

Reference 1

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Observation c04d3b3b-c318-4e88-a74f-7ea04f254efe · outbound

This paper cites 2019 , eprint=.

Deep Research Pretraining via Predictive Navigation 2019 , eprint=

Reference 2

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Observation 9f69467d-74aa-41bd-baf2-3b9278f87a22 · outbound

This paper cites 2023 , eprint=.

Deep Research Pretraining via Predictive Navigation 2023 , eprint=

Reference 3

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Observation c7a41edc-dc05-4dbe-8628-c8628a3524fe · outbound

This paper cites 2021 , eprint=.

Deep Research Pretraining via Predictive Navigation 2021 , eprint=

Reference 4

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This paper cites 2025 , eprint=.

Deep Research Pretraining via Predictive Navigation 2025 , eprint=

Reference 5

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Observation 5ea18845-33d5-4099-bc1e-f1b48f2ec9ee · outbound

This paper cites 2025 , publisher =.

Deep Research Pretraining via Predictive Navigation 2025 , publisher =

Reference 6

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Observation e88fd22e-a032-460f-8f73-741d6d65625f · outbound

This paper cites 2024 , eprint=.

Deep Research Pretraining via Predictive Navigation 2024 , eprint=

Reference 7

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Observation d93b2246-72c9-4bbf-8168-257aa02694f3 · outbound

This paper cites Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering.

Deep Research Pretraining via Predictive Navigation Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering

Reference 8

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Deep Research Pretraining via Predictive Navigation Unresolved cited work

Reference 9

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Observation 27de8dd5-8a3d-493a-aea0-aa167c858294 · outbound

This paper cites Second Conference on Language Modeling , year=.

Deep Research Pretraining via Predictive Navigation Second Conference on Language Modeling , year=

Reference 10

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This paper cites 2025 , eprint=.

Deep Research Pretraining via Predictive Navigation 2025 , eprint=

Reference 11

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This paper cites 2024 , eprint=.

Deep Research Pretraining via Predictive Navigation 2024 , eprint=

Reference 12

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Observation a9f2fe4c-8bc5-47f3-a4bb-2f7158e32beb · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Deep Research Pretraining via Predictive Navigation GLM-5: from Vibe Coding to Agentic Engineering

Reference 13

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Observation 42194bba-2496-4d66-879b-14c83191c240 · outbound

This paper cites Nemotron- CC : Transforming C ommon C rawl into a Refined Long-Horizon Pretraining Dataset.

Deep Research Pretraining via Predictive Navigation Nemotron- CC : Transforming C ommon C rawl into a Refined Long-Horizon Pretraining Dataset

Reference 14

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Observation af20e2ac-71ca-4ced-8008-2830e85979a0 · outbound

This paper cites 2024 , eprint=.

Deep Research Pretraining via Predictive Navigation 2024 , eprint=

Reference 15

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Observation abf8597e-f35b-4368-8aa7-a44158696689 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Deep Research Pretraining via Predictive Navigation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 16

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Observation 1dd266f6-ed96-4872-88a5-0c3cf797f87f · outbound

This paper cites Theory of spin and orbital charge conversion at the surface states of Bi_{1-x}Sb_x topological insulator.

Deep Research Pretraining via Predictive Navigation Theory of spin and orbital charge conversion at the surface states of Bi_{1-x}Sb_x topological insulator

Reference 17

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Observation 83dec9e9-0620-4541-ab74-a7ece52c18cd · outbound

This paper cites Know What You Don't Know: Unanswerable Questions for SQuAD.

Deep Research Pretraining via Predictive Navigation Know What You Don't Know: Unanswerable Questions for SQuAD

Reference 18

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Observation 5b8f6f04-a807-4dd3-b625-f9829dfb20c2 · outbound

This paper cites DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.

Deep Research Pretraining via Predictive Navigation DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Reference 19

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Observation 85a258d7-d7ee-4c2c-a997-dafb43a05246 · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Deep Research Pretraining via Predictive Navigation Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 20

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Observation 0c2fd94d-212e-4ca4-8c28-3eeef240eab2 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Deep Research Pretraining via Predictive Navigation TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 21

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Observation ed41a113-0d2c-4185-89a8-df8c141cea65 · outbound

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Deep Research Pretraining via Predictive Navigation Communications of the ACM , volume=

Reference 22

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Deep Research Pretraining via Predictive Navigation Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 23

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Deep Research Pretraining via Predictive Navigation Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=

Reference 24

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Observation c87e09cf-76b5-43e4-b3c0-bec187b11110 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Deep Research Pretraining via Predictive Navigation Training Verifiers to Solve Math Word Problems

Reference 25

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Deep Research Pretraining via Predictive Navigation Unresolved cited work

Reference 26

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Observation c16e7684-a3cd-425a-8866-92a78dd0325a · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Deep Research Pretraining via Predictive Navigation TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 27

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Observation 582fe0a1-72d9-4dce-bb84-2ee3e8bc055d · outbound

This paper cites BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining.

Deep Research Pretraining via Predictive Navigation BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining

Reference 28

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Deep Research Pretraining via Predictive Navigation 2025 , eprint =

Reference 29

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Deep Research Pretraining via Predictive Navigation Unresolved cited work

Reference 30

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Deep Research Pretraining via Predictive Navigation The Fourteenth International Conference on Learning Representations , year =

Reference 31

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Deep Research Pretraining via Predictive Navigation 2025 , eprint =

Reference 32

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Deep Research Pretraining via Predictive Navigation 2025 , eprint =

Reference 33

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Deep Research Pretraining via Predictive Navigation 2025 , eprint =

Reference 34

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Deep Research Pretraining via Predictive Navigation 2026 , eprint =

Reference 35

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Deep Research Pretraining via Predictive Navigation 2025 , eprint =

Reference 36

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Deep Research Pretraining via Predictive Navigation 2025 , eprint =

Reference 37

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Observation a453c3f1-fce6-4c4d-871f-4349f165c82e · outbound

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Deep Research Pretraining via Predictive Navigation 2025 , eprint =

Reference 38

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Observation 2e472f88-1791-4afc-95bc-5743a0336ab8 · outbound

This paper cites Olmo 3.

Deep Research Pretraining via Predictive Navigation Olmo 3

Reference 39

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:24:31.212820Z digest=sha256:b917e050babcfc1aec060c39be5dbd5189fc7af43c856517a749514379741791

Observation 764923af-1c5e-4e8b-914d-3ed578876942 · outbound

This paper cites 2026 , eprint =.

Deep Research Pretraining via Predictive Navigation 2026 , eprint =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.964097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.217734Z digest=sha256:d8cb1f4e8a3231de0e8e5c97e6c23e6b608f3a48ee006058a6a2a48797d9e0e1

Observation bcc1cd82-aea7-4082-bb86-eb14b7d420f9 · outbound

This paper cites How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data.

Deep Research Pretraining via Predictive Navigation How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:24:31.452933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.222119Z digest=sha256:d97d78712a299f48562c1b090d9da773a0b72d681134635c62ae959f513567a8

Observation 1e9350b6-74c4-42d1-a240-d77657c4b111 · outbound

This paper cites 2025 , eprint =.

Deep Research Pretraining via Predictive Navigation 2025 , eprint =

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.948095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.227606Z digest=sha256:931879a0733c6e5efd434b114c4b48f4cafac95f1c426dce0b237772342be0be

Observation c2213b55-9716-4f19-8e45-b754e2bae79d · outbound

This paper cites 2024 , eprint =.

Deep Research Pretraining via Predictive Navigation 2024 , eprint =

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.933393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.231982Z digest=sha256:f1e3f78c3a2b17c613e51994c47d510cc8b0ccac337856fc38123054a025a395

Observation 58397e27-c36f-496b-9059-bc3d364118f2 · outbound

This paper cites 2021 , eprint =.

Deep Research Pretraining via Predictive Navigation 2021 , eprint =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.917857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.236885Z digest=sha256:b9356e8b02605b660537f3ae73a2a347772502a2c90700b56df9413bf51cb3da

Observation b0c2c536-1f7c-4169-9195-f4f053c29f08 · outbound

This paper cites International Conference on Learning Representations , year =.

Deep Research Pretraining via Predictive Navigation International Conference on Learning Representations , year =

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T15:24:31.241171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:24:31.241171Z digest=sha256:cee515f832d82b688df012e26a87c78aba2d4c6efa5641b996ddd8dd9188ecbb

Observation eebc35ed-ea7e-4267-b970-01382d5497fc · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks , booktitle =.

Deep Research Pretraining via Predictive Navigation Don't Stop Pretraining: Adapt Language Models to Domains and Tasks , booktitle =

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.892848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.246315Z digest=sha256:cbd5ed932a9b6fa55d623e28104402428e6bc0b3dfe8165fc57a8a5369e46443

Observation fdf8f35a-cdd7-4899-ac99-b4b0d04801d8 · outbound

This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , year =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.877216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.250882Z digest=sha256:ac0f5ef2a68ecb6e8acdc4095970f272a26d8cf15571ad20a1bf801354f89fe9

Observation 6b93c590-2bc7-4fb4-9cf4-bbf43c2ea602 · outbound

This paper cites unarXive 2024: A Large-Scale Scientific Corpus for Citation-Aware Retrieval and Generation , year =.

Deep Research Pretraining via Predictive Navigation unarXive 2024: A Large-Scale Scientific Corpus for Citation-Aware Retrieval and Generation , year =

Reference 48

Resolution
verified exact
doi, observed 2026-08-15T15:24:31.384900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.255485Z digest=sha256:b258192446becebf00c57ecb1e233a76b7bddeef3dcdf6bd1f52bf473585103a

Observation 79a44315-89c2-4b2e-8b76-a82394dff536 · outbound

This paper cites 2025 , howpublished =.

Deep Research Pretraining via Predictive Navigation 2025 , howpublished =

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.862154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.260056Z digest=sha256:80a94bacfd9cb430ddb8ed7cad132a5fbbe7c5790382d20f6703179f1ca353ba

Observation 5774c178-8ac7-4373-83da-cd72542dfdab · outbound

This paper cites International Conference on Learning Representations , year =.

Deep Research Pretraining via Predictive Navigation International Conference on Learning Representations , year =

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T15:24:31.264791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:24:31.264791Z digest=sha256:366ff8b0ae01b75bbdc1fe28ef151e40eb7a02e7f960c1a08bd62363bfa627e7

Observation 06e189f0-3660-43d1-b996-17a79a83e235 · outbound

This paper cites , title =.

Deep Research Pretraining via Predictive Navigation , title =

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T15:24:31.269614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:24:31.269614Z digest=sha256:21faa218ebea4f6f66b99caf9ad2592b9e26e41ece3f213f1eb83d2e068322ed

Observation dd23ea95-793f-4223-a273-f566370d18af · outbound

This paper cites 2018 , eprint =.

Deep Research Pretraining via Predictive Navigation 2018 , eprint =

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.826110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.274469Z digest=sha256:6d0595e1b770b7c67040521679569e1074f88665dcb736409f3f7f8cf7e205b6

Observation 633d2244-b589-49a8-803d-160d7d1975ea · outbound

This paper cites Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , year =

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T15:24:31.279522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:24:31.279522Z digest=sha256:848421d68070852ec2d047e5c0d0f1a1299f931a0c1cd563fe56d22163542029

Observation da0bec2b-e364-46d7-a08a-4fda1fc6d6e7 · outbound

This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , year =

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T15:24:31.283792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:24:31.283792Z digest=sha256:d4870b96e827845ada389f891463ae62f64ea3711c4629b2fcf514ea76521212

Observation 529499cb-69df-4951-9a5d-e79f99cf858c · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the AAAI Conference on Artificial Intelligence , year =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.790374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.288610Z digest=sha256:27be0ce664c2acf744cb2416af9a7e6b4ff1aa3b984e70cce0aa3efe6df26c29

Observation 36ec66e8-0bcc-44b2-b9f5-f0d84ef5df90 · outbound

This paper cites 2021 , eprint =.

Deep Research Pretraining via Predictive Navigation 2021 , eprint =

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T15:24:31.293248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:24:31.293248Z digest=sha256:5fc19c16d51fd73e36354347af7423dfb185ce0029a8b2bbd4392127e8f1dd80

Observation 042b3160-2bdc-40c9-9923-9761bc963386 · outbound

This paper cites Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics , year =

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T15:24:31.297824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:24:31.297824Z digest=sha256:4173ac9b77af3fd410bd6bf2c53f934def67ba2141441d6ae1c7b1bce0c21ffc

Observation 05881750-7a94-4c3b-8dba-682846314df0 · outbound

This paper cites Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics , year =

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.755018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.303257Z digest=sha256:9df03015a789a047a9b8526edbe6dabf5135174c4a15b1d45570b97334dc151c

Observation 4dc9a53b-8d52-494c-8e55-ca29139a3263 · outbound

This paper cites Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics , year =

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.738891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.308653Z digest=sha256:4061b4d4b01ae0456a8dcbd4e71b89671462ed438d63eaf7695f274d2d02f666

Observation 815e1700-de38-4838-ae6f-01c180654036 · outbound

This paper cites and Salakhutdinov, Ruslan and Manning, Christopher D.

Deep Research Pretraining via Predictive Navigation and Salakhutdinov, Ruslan and Manning, Christopher D

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T15:24:31.313601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:24:31.313601Z digest=sha256:927cd12b8fcae132be5f26eb18b8a80e3b16c46b3ec69f738d1bc3b86559c5c9

Observation fd42abaf-479b-4b81-9f6d-43729fb9e726 · outbound

This paper cites Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics , year =

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.712232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.318671Z digest=sha256:bf82822b3874e113158f11c952e4d3317598a21199c84eff3bd1da2f7ecd7436

Observation 0f54b9ba-ba37-4117-b013-85b074ba8f79 · outbound

This paper cites Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics , year =

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.696397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.323762Z digest=sha256:473345c02557fd2f7cc73ef25f8984321bb9b7b64637e8ce3d9565c10f077aa2

Observation 2306ba39-d2b3-4cda-8485-de4759fad2bf · outbound

This paper cites Proceedings of the 28th International Conference on Computational Linguistics , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the 28th International Conference on Computational Linguistics , year =

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.680207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.328953Z digest=sha256:d55f249be77061d23765275a087f8ab64c96d00ea80fbd6d6eb12869e5beb49a

Observation 5865d832-556a-4e76-bcee-c2d4fedf8eb0 · outbound

This paper cites Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics , year =.

Deep Research Pretraining via Predictive Navigation Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics , year =

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.663981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.333805Z digest=sha256:2c86dc82dca7a8b51485d568f1d8f4b2103a46c70ceff25cc857bc4d7dc28e15

Observation a0567f88-ebef-4a32-9ad7-92c168ae6437 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

Deep Research Pretraining via Predictive Navigation Transactions of the Association for Computational Linguistics , volume =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:24:31.648204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.338742Z digest=sha256:02a944f5cef88f54ecdd2a5c6ed9a1b10d04eb914f2facd872c52d6be0ed7654

Observation 60cbaf21-67a9-4363-a88c-6f31b4906929 · outbound

This paper cites WRAP++: Web discoveRy Amplified Pretraining.

Deep Research Pretraining via Predictive Navigation WRAP++: Web discoveRy Amplified Pretraining

Reference 66

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T15:24:31.429529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:24:31.344123Z digest=sha256:d54387656f1b4e0166303759e07bfd1807673baf40e9d348b0a51026c3fcd08a

Pith citing papers

No inbound Pith citation observations are available.