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Paper Citation Record · LEDGER

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models

As of 12 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2507.02182.

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

pith.paper-citation-record.v1
2507.02182 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:40:04.378739Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T21:45:42.517559Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:35:32.792140Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact4
  • verified fuzzy2
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f6aad4ee-e9fa-4adb-8778-356224481345 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:11.033358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:39:59.525425Z digest=sha256:a39f45cbb6f31a7c56999ac70ed0015a0ca9308ddccde1af759b83047508cf31

Observation 0152fffe-3c0b-401a-aea1-0e9710618cad · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:10.862851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:39:59.592295Z digest=sha256:7304583f67df3ef39c071e1d55bc4fc2e0ed2699017f3353979b3bc488813d9a

Observation f279d472-2ad5-470f-ab18-35c5aea534c2 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:10.667983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:39:59.700839Z digest=sha256:e78e9021e285db9cd5e277e59a92755e07d7b8bc867900c5179e29a9e8d07cea

Observation 95eade7b-39cb-4ff5-bfc5-272dd858be65 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:10.485234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:39:59.808171Z digest=sha256:4c091e56d3a24473f1ef3c92f839d2d9ef733a2205121d52040db35b3677f6ab

Observation 84781199-f270-4713-88a4-840db11550f5 · outbound

This paper cites X-COBOL: A Dataset of COBOL Repositories.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models X-COBOL: A Dataset of COBOL Repositories

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:40:05.686521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:39:59.872389Z digest=sha256:bbed94e4a840dc177cfb5ccdae3c17565b9a3f2aebcae2292e10804c553f5ce9

Observation c68633f1-8b83-41ea-9fcb-70d1510b716c · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:10.324846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:39:59.944571Z digest=sha256:90924c3ac42626dfbb4ae9d58b9656f852d177d01ada5ea22eb3dd702c007dfc

Observation 0cdddaf3-29ae-4bca-b0ff-f6eb64ed625a · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:10.096139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:00.026210Z digest=sha256:6d69cad10b481e620657c6cb78faf7011bbb1a2a1260b884b5216ddbec4bce13

Observation e05d4299-d35c-4e2f-b1e2-0a82d33e1be1 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:00.122729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:00.122729Z digest=sha256:016eca5ca7360b6c6d35eb8966c4c4dee72373138d202882c12385f352f3b560

Observation 192f12eb-d663-4ece-9f6c-a3c3ba1aab0e · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:09.891336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:00.209807Z digest=sha256:e696918a3c68db634e10097a6177b76be6dfc49f6b9b57f0907957dfdf63dc1c

Observation df45f872-eb62-4ed4-89e9-1883c3cee47a · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:09.540631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:00.428344Z digest=sha256:ca51cbfa15e9a8e5449ecb285d20cd8f48a1f8bffc848ed60c8a6ce240013e83

Observation 3b2301f7-c1b4-4fa7-82ad-a09893795ba3 · outbound

This paper cites BooookScore: A systematic exploration of book-length summarization in the era of LLMs.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models BooookScore: A systematic exploration of book-length summarization in the era of LLMs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:00.528402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:00.528402Z digest=sha256:485e3a06dd54e5ed09a9b3ad52ca8dc9ad76e95c66a599a2054be8d86464b91b

Observation 33c126e4-8dd4-4bd2-ba23-f94b56f25f46 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unleashing the potential of prompt engineering for large language models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:00.584492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:00.584492Z digest=sha256:8ce074a03754c136d808a6c4357de16b6c005e5c0242b51eec84ea667c6f5006

Observation 1e91deb1-25af-4a6e-9884-2fa845a001ac · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:00.633656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:00.633656Z digest=sha256:699a516c31a475061612f37fd2c586278f757100c7905f283fa78192d28c4b93

Observation 65c830ba-45d3-4895-be6d-96b0f7423f1e · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Evaluating Large Language Models Trained on Code

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:00.830012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:00.830012Z digest=sha256:d9171c9f5385b12a7bb9ab7092c0c6ace24de949d68d1f3a870feb3ff4b4f0a4

Observation f434aca4-4f0e-4dd3-8c55-cfbcfd519ced · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:09.130208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:00.936028Z digest=sha256:84f1a8cc5203bfd4b6ae7800b2cf7bd7609839b5cc77618e985835fd2b432119

Observation 0666164e-0e49-41a5-974c-6db010171f4f · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:01.056427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:01.056427Z digest=sha256:86fdf7975340ec8dd5882dad7ab25df751489d894d5715807c2958b170f18771

Observation 7bac15d2-acd3-4768-9c00-67dfcf0fc0fd · outbound

This paper cites XMainframe: A Large Language Model for Mainframe Modernization.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models XMainframe: A Large Language Model for Mainframe Modernization

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:40:05.511639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:01.115730Z digest=sha256:5844215baadce01d6502331a19b0831b5c0dde8001002018abd55ffaad8f07d6

Observation 3e0e54f4-177e-4491-87d3-57107158935f · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:08.915816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:01.175553Z digest=sha256:9370eb68047a8b7b3f8cba2d0935b671ce014a3e1a743e11593b419643e42067

Observation ee129f2a-091f-4a6c-b416-60a9180b6785 · outbound

This paper cites GPTScore: Evaluate as You Desire.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models GPTScore: Evaluate as You Desire

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:01.239031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:01.239031Z digest=sha256:d8777027173b14773a41cd60a0f296f4ba3e94ba68b14ea2837048e7091c5c89

Observation d99f651b-ed0e-4580-b1cc-ffc84e0ba6b8 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:08.666787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:01.296959Z digest=sha256:bd2156067a30afedabf133bcd62e6ff89acc05bbec1dfbacff33aeb2b583f089

Observation 27b4cfb4-798e-49ba-8668-6f187b695311 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:01.354436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:01.354436Z digest=sha256:4703b64fee45c579b9f32b3be14048ec78ee70620138e986bc5ff753097cd18d

Observation c7f752d5-90fb-44c0-a7c3-bb3ff71af884 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:08.413514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:01.419988Z digest=sha256:bb624467420864799608a751a8dbeed11e2e8c5f58ee44b410ac9a1af1fd6bf5

Observation 2474575f-6cea-4df2-81a9-d60f5b507a66 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:01.484378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:01.484378Z digest=sha256:cb408eabb7df28f148041e63c783f8017bd9ba56e290e2f2a60cbec0641f23c6

Observation 4349d7f2-2328-491b-8474-c60313574f75 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:01.536106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:01.536106Z digest=sha256:d32d7371e79819c7fca6f4dfc6ee5aabc72e2f6a457ac065fbf40cbe4e5caba6

Observation a4826fca-ee1b-4486-80ad-5bd66fdecbcc · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:08.150197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:01.600307Z digest=sha256:eb5dda658b0964e5cfe2ef5be7815b5065774bb2e7422aa7506fba7e7377676d

Observation a6674f39-e71f-482d-80cd-5ab92ba4beba · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:01.662614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:01.662614Z digest=sha256:5203d02fee915c1171858e5dab7d2fd55c296bd92d75b92ae2ba64869011ed4c

Observation 869cd68c-c363-4a1a-ab39-6c2920e1d6bc · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:01.745841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:01.745841Z digest=sha256:032a1cbb392e788f81193dd24284ff4e6db34536d5bc64b672f4dfc7eac6752e

Observation 5c70a10e-4587-47ff-81b6-1c184480f8c8 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:07.945805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:01.799820Z digest=sha256:c5983dfc72882345639f69051bf31753fbd51100fe4be0b6198586101492a68e

Observation 0b9dc7db-c738-4b54-b452-0393a1b8c314 · outbound

This paper cites McBurney.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models McBurney

Reference 29

Resolution
verified exact
doi, observed 2026-08-06T20:40:04.642111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:01.857707Z digest=sha256:ba8baeb483290c68dfe94ff8ee49785a2d2e6c3246f9a511a27b67cdfcc58a2d

Observation 3412b676-edff-4135-a019-9bc4ea12a79c · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:07.717850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:01.912404Z digest=sha256:36f5aae7143a2070b02d4e3b8dc7924f2a7ec204d82d723496134a9b8eacd6e3

Observation 66fd0579-97c1-435e-8cb0-805f192ba265 · outbound

This paper cites Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:01.989103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:01.989103Z digest=sha256:a08f51b054071dbb109fd30a691a6d42cca6b75e447eb4763dffb66efae5f16e

Observation 61b0fc36-6d6f-40dc-89fe-be47085d1a38 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:02.093665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:02.093665Z digest=sha256:57292c05e2a6098990b30bde1797213d61f9a430a1f83e51b5c54ee11179f2bb

Observation 90a314b5-6edf-498a-857f-2f0f43d3fd62 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:07.558015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:02.139793Z digest=sha256:d04ceae5d9928100425109ce6e075bcac824dbb5dbf9c2488fffec111c4a37cb

Observation 9226c929-71ae-4f78-8b3d-55ea098bf7fa · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:02.199181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:02.199181Z digest=sha256:8a8c6a29bc5f052f6aad5cfb0a5278c3eb0610f7c75d6261832e318e150a02b2

Observation 7e238f20-ee21-420a-8fc6-91e4fb40ddc4 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:07.399994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:02.258341Z digest=sha256:d8e164397b951163b376ac99bf9721d11d1808a3a77149ccee35a37f97c996b4

Observation 896ab20a-4efd-44c7-8bd5-0b2e2ccf3880 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:07.208494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:02.299394Z digest=sha256:355b8b78f0b41a4911e4380f5bfc85c8da1c5f15d64960a16163bc3b73f6107f

Observation f43c5035-2849-45f2-b7f1-806b012c8043 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:02.303299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 967e8fbb-b1f4-4a9a-90c3-dcb171508d66 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c93da1ab-485d-4e3d-bac5-ce42866236b1 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:06.923385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 71898baa-d1f3-4c72-a8ff-a58d14db4514 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:06.710973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 51f9f60c-1feb-4328-8c94-cf18d8f66150 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:06.580775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 39ae7762-edad-4878-8665-933694a0ce88 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:06.444164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6f158c57-24c6-4f45-be18-7d3d27db6dc7 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 44

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ea361b06-b4c7-4f61-8fcc-88d0d7238aef · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:06.287836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7c8ca69f-d5ed-4d5c-a176-dd67d97d50f5 · outbound

This paper cites Source Code Summarization in the Era of Large Language Models.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Source Code Summarization in the Era of Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:03.381055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:03.381055Z digest=sha256:252147e913c079c8e637dd9ab217d04e7349cdd44d41b427fc44c7bfb3f7cb68

Observation ac8d15c4-c40b-430a-a911-560fb805d8a8 · outbound

This paper cites JudgeBench: A Benchmark for Evaluating LLM-based Judges.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models JudgeBench: A Benchmark for Evaluating LLM-based Judges

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:03.461298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:03.461298Z digest=sha256:99b1459ec36a1e5bb62abec0dc77640d8d3b64a703fad9c142040ee5ada5c143

Observation edfe5526-3902-4161-957f-16111a96e902 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:06.156086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 54a6adfd-7b07-4d58-8080-bcb4a4f35a2f · outbound

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

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:03.678304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:03.678304Z digest=sha256:5603fb8824f2ea1539409e8f4967c3468d52152e61a876d45a69ab5767795fec

Observation ece034b2-dc9f-4a02-80af-00d0e4fa3ebd · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:06.002572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a4c783a5-759c-4cde-b97d-94165ab5b9ee · outbound

This paper cites An Empirical Study On Correlation between Readme Content and Project Popularity.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models An Empirical Study On Correlation between Readme Content and Project Popularity

Reference 51

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c24cf3d6-4c1c-437a-9b18-c7b3bb76f5e6 · outbound

This paper cites Recursively Summarizing Books with Human Feedback.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Recursively Summarizing Books with Human Feedback

Reference 52

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:04.071323Z digest=sha256:e5e4ea094a4a9203278fcf45daa8dc7464f4e9f8a59c7a26568d25cf6a256ca8

Observation c42d5703-08a9-43eb-99b6-81e51a0699b1 · outbound

This paper cites an unresolved cited work.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:40:05.859166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f7f9e222-99ba-439a-85dd-47deb839c3b7 · outbound

This paper cites JudgeLM: Fine-tuned Large Language Models are Scalable Judges.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:04.378739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:04.378739Z digest=sha256:e126fc0d7879b5aa703ec041f382ad3942e83ae51c026189d08ce31babbc4191

Observation 6f77e965-36dd-4800-b58f-e99437fd364d · outbound

This paper cites Informa- tion Processing & Management 59, 6 (2022), 103069.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models Informa- tion Processing & Management 59, 6 (2022), 103069

Reference 2022

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:00.334744Z digest=sha256:640e5d246e715bc247467a5b3ac87abca97c95da143f576344668099f4690d11

Observation be5d58dc-cb3b-437c-8955-da7eff339d1d · outbound

This paper cites In International Conference on Artificial Intelligence in Education.

Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models In International Conference on Artificial Intelligence in Education

Reference 2023

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:40:00.706464Z digest=sha256:25217f14e8accae10869b344432aa9b29e3320a99f079baa7ee2ac457a39019c

Pith citing papers

Observation bd4932fc-58da-4ec5-a68c-b0ebffdff447 · inbound

Code Comprehension with GitHub Copilot: Performance Gains, Comprehension Trade-offs, and Behavioral Predictors in Brownfield Programming cites this paper.

Code Comprehension with GitHub Copilot: Performance Gains, Comprehension Trade-offs, and Behavioral Predictors in Brownfield Programming Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:35:32.794434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T00:35:15.806575Z digest=sha256:cafb3960bfb680ba1db835fdb42876ac4c7802be9e19cd0b2238337e2e313166

Observation a442f4f7-30e9-42fd-8c48-f93f8e827339 · inbound

SEDCoT: Enhancing LLM-Based COBOL Code Translation via Symbolic Execution and Delta Debugging cites this paper.

SEDCoT: Enhancing LLM-Based COBOL Code Translation via Symbolic Execution and Delta Debugging Enhancing COBOL Code Explanations: A Multi-Agents Approach Using Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-11T21:45:42.517559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:45:42.517559Z digest=sha256:16b20206cf120738748d030a48151c4aff147f0b8e63fc0d8e0429f1ee50fe81