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Paper Citation Record · LEDGER

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark

As of 4 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2511.21285.

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

pith.paper-citation-record.v1
2511.21285 v3

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T05:08:42.031800Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T02:38:11.118057Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-17T02:38:53.814101Z

Reference resolution

71 of 71 outbound references displayed

  • verified exact33
  • verified fuzzy2
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64cba211-dc67-4650-920b-468197dd5a19 · outbound

This paper cites online" 'onlinestring :=.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark online" 'onlinestring :=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T05:09:04.142271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:34882531bd63566ba1eefba997b8ac16eb7f105ec055c278469d1b140e42b098

Observation e710cdac-6f8a-40eb-b161-56759e4552f4 · outbound

This paper cites write newline.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark write newline

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T05:09:04.135343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:83f6678ae54602dca211066220d2b3f8b5e8522693cbd0fe547a4881633761f9

Observation 5ee3e545-8f25-4308-b301-92ce3c1c0b16 · outbound

This paper cites GPT-4 Technical Report.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark GPT-4 Technical Report

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.629004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:09c7466e7743b5879b3e510ea9fedb12a5f2ed7ff5560d45a69f52924011eff2

Observation ffd3d587-e76f-4207-b076-1875632e7c7b · outbound

This paper cites MathQA: Towards interpretable math word problem solving with operation-based formalisms.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark MathQA: Towards interpretable math word problem solving with operation-based formalisms

Reference 4

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.384489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:8bde4ad6930e94666662e18c9070fb4cd3993ed30bd3cdbb21478047db88977b

Observation 253dc7c2-c4f6-497d-9cd6-1631fb3efaff · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 5

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.381340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:b6a59c7c13ad4b27a6d1475c259977064f74273af7da501f80b12a7342dc7ff0

Observation 83b32984-dd8b-496b-b130-3c0acdae6cad · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.146710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:ddf2bb231cbc9406b373d9a807c8649e1806cb8f0381762bc009e70c5e19a22b

Observation 6623c981-6aa9-4381-bdee-d89235273526 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.153535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:3121264279f50e38e5b4884a04456066c51133ae1b3798053a05a679154721e6

Observation 5b7bddfc-1a33-4f18-8384-3102f08c886a · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.149938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:0d98316a3f0690fc0467d46fa4d2252e91bcd317a66c08e64a2a73b8f1488523

Observation 9d9fdfd8-4889-4f21-a744-4092b827dc75 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.138869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:38600e3bfb564c7117fe744d35fd75daf7f238bbaad4eedca6e38cde3903b298

Observation 7c41643f-c088-4f00-a716-11f913a4e943 · outbound

This paper cites S em E val-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark S em E val-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation

Reference 10

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.313127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:5a043a0abe9298365696a65e361262363ea33c692f219ee28bc2d4546ff7c7f7

Observation a6a1a3cf-e74d-436b-a5cf-2179d7abc27a · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.231658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:e7c3f13f84a2c305f38be85ed0929a6e020ef5cb067882bcf54ea2998e5ec999

Observation a8d4fc20-8c2a-4205-87f8-5a04300ebc50 · outbound

This paper cites B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 12

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.377997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:5eaf59e947a4713024e4bdaf3d625c6653cb7aa70168c274140c72631893bf38

Observation 386d0d3c-36a4-4f7a-af92-06a51a024b59 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.181453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:1062aaa4e0f8861fe95280335faf729367a047e868b2e369cd8424d79e752cb4

Observation f68927d5-9bd1-4c4b-bdf4-d8e924b794b2 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Training Verifiers to Solve Math Word Problems

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.684990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:ba26df9da13b422dcc4a81a5d085e52ac4e6c0701061b99ecee80c39144060c6

Observation 401769c9-f97e-4f9d-bcff-bf26886e3293 · outbound

This paper cites The pascal recognising textual entailment challenge.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark The pascal recognising textual entailment challenge

Reference 15

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.374724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:0ab1d872f489d49e4ed20d3d0b39563fd5bb2c78297f3af331a80ce347607cde

Observation 9a737a31-4692-4712-a3e7-81e69f1b5688 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.189972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:f3372c00b2673363364d7cb4130b94681c1f2e3fc4e827705bab29c73201aea7

Observation b75f4a86-b2ec-418e-af74-bff8a6adc5a7 · outbound

This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 17

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.333434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:c02380df04ee1f551b987c2357248b98793d24ccff726b3020e6d07325549b25

Observation 5905e397-b1aa-4cac-a725-2bab560a035d · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.170474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:9b9070aaad080c4fc6b9b75c14fccee76e4817c45fea5c37a35fb4e28b277cb7

Observation 27529d63-949a-403b-8142-772487a63181 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.173269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:d6ffdf7088910fc65c21e011a7c42dfbdf10df67fea70fd39824bf4930cabc68

Observation efabcfbe-5115-419f-8cb5-dcf4f20cb0e0 · outbound

This paper cites The Llama 3 Herd of Models.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark The Llama 3 Herd of Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.632897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:d5f1e34e3b9df04b2edd67484a234ef671eba8258cd797d4ea76a96830551eda

Observation ffa26793-261c-49a6-be9e-f49e0d7da39a · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.242353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:2960146131372052dfe97a1e1dde5c9b36a9cf651d3228b7a800b4b369b469f0

Observation 14757472-d694-465d-857d-08a69546b259 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.239461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:1ed7b737a2772dc8a89e3d4f985b3814f8cec5bbff3340db02f2dba77c680fca

Observation c12fba66-c128-4020-9462-e8ecf4135f08 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.166943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:03b602193cd36bab43e05a7539e4eb9057c29ce2abc2b3f72367e3a8add00980

Observation c6411876-ef24-4593-ba1d-34b9d0bf28a1 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.209808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:4e9d00bf244fde589f28bf4fa7d25774280bb454a6b29cdd6436b94e6383b39c

Observation 253af9e5-ac56-4d2a-bccf-295c19403d94 · outbound

This paper cites Mistral 7B.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Mistral 7B

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.653963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:089a03710cf30025415b17d637c14ed3c961ca84c53b9139c0de57c66e41f5ed

Observation 92a30a09-2a85-49b4-b018-b0283fefc279 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.218099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:64314f09d924da64e13c91cfb4c97072c9880cf400d56b1c7fc130d759762f8b

Observation 9745f31e-5981-40f5-9f29-bd607dcc910b · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 27

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.352535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:5ffb9f1d00441d0db7d7f4a90ea70578a2b462f7544940794f587c4a7d916447

Observation 2940bb1b-021c-4609-ac29-1b202afdbb33 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.195708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:0f4c35b1a4c793cb2b4ca47ded8b7eda255f5524fe6735be9b749a4cd3ad5795

Observation 261725a0-df62-4867-8a4d-33273fc1ec31 · outbound

This paper cites URL https://aclanthology.org/2021.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark URL https://aclanthology.org/2021

Reference 29

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.344751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:011bf59b9ae40ce160c4ea45fc2669dd731b358793f286115b7e56f1836a41ac

Observation 95a28467-085a-4380-a9fa-a4c294f33729 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.226246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:7c40ce8b3fa205239fa817e57978b82737d0c4954bb8cba4c802e85e9477c59b

Observation 16d22cb6-0374-4d38-9461-0f9baff847fe · outbound

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

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 31

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.348938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:ea605424769873afc60670a4659fdfd0f0c695e9ec50b4175753fcf7998e3611

Observation 59e346ea-8bc4-4c57-9c93-8ef45e486146 · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:09:03.671753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:ce5b3cb921ca3a4855dc969047d03d3002c7ea21d3344f79899f78e1a8a5495d

Observation a0e4fc9d-7ad9-47f7-8b3e-fcaac21e6b24 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.178648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:700193ec412f19f232156501f7d4a473c5df6dfbb5f735ef8543329243c41ee1

Observation 824d32ff-3626-4f2e-83e8-661ca1554b12 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.215574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:125704bca3fbec3888cbe367f42b492bc56e13f8ffae1f4e9c3af27e57def5b2

Observation 53b307ca-de93-4ecf-87eb-e88f48420b99 · outbound

This paper cites ACM Comput.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark ACM Comput

Reference 35

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.340768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:79b97b0724f5c826af33703da97f0ee03cb90fedb572867e7f08601f3c060680

Observation e77239a3-607f-4b2f-9fec-a820806be7a0 · outbound

This paper cites P -Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark P -Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks

Reference 36

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.359218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:7881d267355d10b3dfb3d8a9b300ed242bb20d4b71a1cf96f72d141a1b5c423d

Observation 60f74942-d84d-4e16-8a99-e9fb00aa532f · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.206771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:fb7c4f7730b9d31c60b0c3bb7876df6ed78d67b9d9c0e1e5b072c0795d0e0bf9

Observation 1fdcbe53-5df3-4a3d-bf1b-c5e0188a06a9 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.667563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:04f50fd91453fab544a1402499e15aa01431cb27e87d6092bf9b94cba99ea540

Observation f184524a-29cb-495d-837d-644ff966ef1e · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.201467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:cbe0b37d50091581d5c72e8f0b0c07af35f4535a16535dbd76cda630ac020446

Observation 6755772c-38bc-40d3-9b93-8bb8be798aee · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.157030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:29a971984dbf021c6699b9e14b3ba826c46eafd8e1ecea396ab8734d2a0f67e4

Observation 413a9423-a1d7-472e-92cd-26eaa3b4b88b · outbound

This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Are NLP Models really able to Solve Simple Math Word Problems?

Reference 41

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.329512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:a360de220bd57383756b53c8899370a560396255f7245853e1bc1d1fbd3a9495

Observation 13c45878-f435-4816-871a-1330eb5afc65 · outbound

This paper cites doi:10.18653/v1/N19-1128 , pages =.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark doi:10.18653/v1/N19-1128 , pages =

Reference 42

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.337124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:1744dfeff8b112b9511dca85bea2bd6a39b22f4036db67016f5982e2a642ab73

Observation 433d54a1-1762-4195-92ea-b732936ef8f6 · outbound

This paper cites PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:09:03.645254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:44f9ddd4eac16e42673e315cb2da6cb9a8aaa0e6a318bc3c76ea5080675cd039

Observation a14b0678-47bd-40d7-bfca-988379fc70f8 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.223420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:679e9bc9b68b8913f727b95c786320c7bcc902aebbf3265495ae7c8e048fcf4f

Observation 051873fb-ad2f-48a2-9bf0-f3569b64c9ac · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.175920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:3fae3ee2d9d760c27fc829047982eaf844f1cdc7d87851091145af71b3d82656

Observation d02b5bcd-92b8-4416-a7ab-46ffc818ef1b · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.236899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:1aaa8a2bdeded1d48657256887711e6417d9637954b6a1f76a384d68d0099e58

Observation 0bdc3b98-445f-45c9-bbab-b9e0766bb10a · outbound

This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.658592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:a1bd8e05d90c66ca903935a7f31a1316f047bcbee18e29f48e582ab747f05d7c

Observation d824982d-74aa-4b13-bb87-ffed9b9446d8 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.228798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:3474f46229cd6db5d02c91f5d2b98a9bd275c2b08367628d33559f60872e1c7e

Observation 0a43a6f6-4ce4-447b-a4c3-76ca5c05320f · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.192697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:f62d5b08f30d5e22b9a2c73248f2bd20f1a1cc944a51734de2dc9dbc807f4a60

Observation 693737db-9646-4575-9945-6c0fc0f7b16b · outbound

This paper cites Social IQ a: Commonsense reasoning about social interactions.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Social IQ a: Commonsense reasoning about social interactions

Reference 50

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.324542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:b5329c598fda75660a8180fadc614a7d0f620e01b6aa22fcdcfb09c77ccf1eab

Observation 4383d6be-e20f-4c0f-bb14-8083e7ce5e4f · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.160470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:ee4de4f4c017e63c0f182d05d9a365f40f8319f3ffaa635f3afddba373b885ef

Observation e204171b-d284-4db7-a596-170b7ecf8d0e · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.244812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:276c06b59c17fc6e0e7935ee8eaaeb0cecb5e5bada55fabe15e8f40190cd26b8

Observation 0bf5fa6e-61e2-4f3e-8684-c75ed838b96b · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.198476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:df78158fcdbfcff55b7def09c32dfeb3b03cac93a8e4c63ac153bbed5763c85f

Observation 7d08ad90-165a-4738-a67c-eca491f35b36 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.204003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:47288a717e0e22e7aeb3cc691d80d2f98947d679edfd7d32b7f66b80f5f56b36

Observation 494399a4-084c-4459-bbbb-175339f5f2aa · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.640963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:842f61aceb3dd3a423d7fe5394dbb5ea7a5173f5495061c7a9dbb843bd65b9a5

Observation da280fdd-6649-45f2-9696-d073071b587d · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.187208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:2c82249bf938cd325d1be71e48de7cb9c73d0249dcd5b620b56076dd575a06a8

Observation 1c2ef78e-3722-4d84-b5c0-49a08971c944 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.220802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:ef45059785080851325f7f5d086c9a29c1d6a401a8201dd9dfc45fe81bd8a85c

Observation 9d803c7e-d021-4cf4-ba35-93df5121ae11 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.689799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:37615de585786a062c1060cda4e8a80392f17955f33760a17a00f8aa61fca1fc

Observation 1c959031-0b92-4d46-8dbe-8fe87a7d2c04 · outbound

This paper cites Transactions of the ACL 7, 625–641 (2019).

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Transactions of the ACL 7, 625–641 (2019)

Reference 59

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.355736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:32983f90b86a303d80257e105fa0d8c6cc356b8a5169850a0d9a4f2f1d35c09c

Observation 3a0ca3c7-9104-4d56-a9f7-b9be35cd129d · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 60

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.363680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:dff55a38665a2747a7ef76f3276661afe22188e4f908e74875bef3c471ded461

Observation 1ee004ef-f683-4a36-9ba1-24257413e58a · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.163738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:a652591d593d41a85cb4e4c7fac2b4112903af19cfa985b69bca632f7493a9ca

Observation a47bdbe2-464f-4b70-9b1a-23a9b8142b76 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:09:03.680829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:d01ababce785682d6f485af7f0ec02d1619d2e673569771c3bbf554927d737ca

Observation c23daac4-0bdc-4ddc-a011-0592cd464126 · outbound

This paper cites Qwen2 Technical Report.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Qwen2 Technical Report

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.636759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:70e80f3ef911a4b82f838580fd9bbf58f59bb37b758ef3d5f5d2d605de5a56bc

Observation 5dda6951-314e-406b-bbae-eade47a9cd9a · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.234293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:233ec14eb5fb4884c543cc2e2d069a085f0ba3b3501aa89a789326acd57d6f7f

Observation 249025ac-a206-4775-b986-563e9a2e8a0f · outbound

This paper cites URL https:// doi.org/10.18653/v1/p19-1472.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark URL https:// doi.org/10.18653/v1/p19-1472

Reference 65

Resolution
verified exact
doi, observed 2026-05-17T05:09:03.368792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:cd923f3d59bc0dd23da3d5bd3b7088a4167c2ee507620c0b8ca8ecf4a200c735

Observation 1e2f84c8-7e76-4e62-addc-c542f6323d3d · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.212821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:3e3ceaf28a45177a077ff0c80f3b80eb7a6fbbe06cbf20afbdb6fc88a7af5dca

Observation c24cbd3a-19e1-4c80-b8a1-2da2ffe3d23e · outbound

This paper cites Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:09:03.662902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:118213422527c56c72724cd43ffd094932814401f881bd0d31a83b91312c0dbf

Observation 79bea3d6-29d3-4e35-9c8c-1d9d0ac4d0df · outbound

This paper cites ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.693250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:dbb61ef5394e3be1bde5ad9b8e690579f556f5bcc47f9281e73efb9a0d60f83b

Observation 3e8ee51a-eefe-4b05-8103-4d7e5cba0fcd · outbound

This paper cites ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:09:03.649662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:99d9136058bba81223f03cf2f1288070b08a6e53303e167601c947057337cff6

Observation 1152e53f-5330-4e53-9983-b48d98786a76 · outbound

This paper cites an unresolved cited work.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-05-17T05:09:04.184094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:516013773b0c822b8971c972c1fd787c89e14d4288a35e9080f22cc9d64c2420

Observation cae694ee-81ef-4f19-84cd-6ddcf4a68d7d · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-05-17T05:09:03.675869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T05:08:42.031800Z digest=sha256:8777773efb9e55255429d268a2484f59a9cf5432a480408ca13e213cf2db3244

Pith citing papers

Observation f5dda5de-cb3b-4e76-abe3-56e892e3af2d · inbound

PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models cites this paper.

PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-17T02:38:53.816367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-17T02:38:11.118057Z digest=sha256:3a273cd474fdefcd0155b945808636f4be8092466ad7d83ff97cdda5adacd4e1

Observation 5fd000a3-bcd8-42c0-91b4-210de1880d61 · inbound

Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift cites this paper.

Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:53:25.127707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T17:02:34.229928Z digest=sha256:11ce56a16af188f157dbfe224c599f61e1f3dbb693441b620d1a032c424292fb