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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:39:59.525425Z digest=sha256:8d01bbb8f3220d00db1834d22a4c3fd4eb86d46c95071b59a0a7dff615454f36

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:39:59.592295Z digest=sha256:83d2690d2f3a7266e59da29ceaf7a8ddffa6fd6730157a813abab9ee17277d53

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:39:59.700839Z digest=sha256:4b88077e419b4cfbf58b2a4bfcf38e057a4f7cafc1f4fb8fbb67596b135bc0b3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:39:59.808171Z digest=sha256:bc491a22e17d1ae0b27fe26252e0dade3d9f457663385c3aa6bc015d2578f980

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:39:59.872389Z digest=sha256:e6176482a947e14398ff98128d10f768678ac2f385e8262d6fde2067eb09f094

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:39:59.944571Z digest=sha256:ed24e0101a321feae27f613db1b95d36be02a305666e5f4f72ff8b9df25c65e5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:00.026210Z digest=sha256:75599c10226d2622bef4413cc3ee0f314c94a2b275961fc0f1750235815fcc09

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:c5b0fd2f54472df0e8dd22245895bd8ed8546eec6a6123403dc41bc895673f50

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:00.209807Z digest=sha256:db9f407f0617fa46b1a83628fd975892a44beb348b4dcdeb32694f3c6e2a65f4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:00.428344Z digest=sha256:5f4565d92b03498470cfb047fbe246194ccfa5a789208ac56535dd57fa9fd8ad

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=sha256:04617c0d169ea5f1d2d7dfd1ee9fed47c44c70250fca994af2ce55fafed79bcd

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:b40ae9165c2c8a88c2d502ec5f191b54ea9fb61032bf50cc50f75a90b17d6a21

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:d90ba717af9ab7e8dbcd303ae4ce0a57407bf4ae9be2927c1a06a37ee78ae7e2

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=sha256:503520e24fe52a1c599cb378186b462abc88676ceed6fe3a02e269b90be13c2b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:00.936028Z digest=sha256:9be695e4fa1a03e81a1e746a81a1818149adab00fac0d0e23309b715aad0fee5

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=sha256:76489e44abb171ac8dc61b0404a1e5b3688a3a4c5d31ac63315812747aa5e259

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:01.115730Z digest=sha256:0ee21fd2d06d019fedd82626a00e6a086a11bccee5e471c1c966a6f9662c48a0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:01.175553Z digest=sha256:4b3f2b72b3f19d5a0ca9d7a2ade4f960ee651bb20779ea4d64edb43f6c66a5e1

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=sha256:56ea0b54156841fbb4be735179e10a912ae23e81f3ac720cfc9eb910fc7c1efe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:01.296959Z digest=sha256:77d7ff731ac2d4d36cc5febd0c71b77e1f4845211a200427bd5b55e7d5d30b4c

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:df5e07551cffc85fe18bef11150b6b3b58a0db08a88a29afac18f69b6a569c5f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:01.419988Z digest=sha256:0b122efd04d8497373b1d92a5f1c1baadcfca2f3b900f55a033ad74f3bf5b3e7

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:ddb376fd6068301478e503ec92eec539f8ce781617d13cf19c83e87cbce016d3

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=sha256:5eeb4798387a7b85615590a0e4eaa890a3bec6e9e0a0ad518af3c0ec6d9e34ac

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:01.600307Z digest=sha256:1514734a0f1ad334fca0f601d37d0d9938775f5b6b832590fce6f00b8c7e0adf

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:c18836a3c287733a885b37049588eacb4a1a5a854cc8454d17ea3382057ad7bb

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=sha256:55d2407106c951568efdace2b8fa226978d54ebde827fe9aab382c682d728d20

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:01.799820Z digest=sha256:000fb407834a75cdbdb39820d295bf085e7c008213b49611cd87c4a22de64214

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:01.857707Z digest=sha256:e79aa0a7a3db9b3cd15e0255b103e4748ede8a50e73d82346846d9a3858b0e26

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:01.912404Z digest=sha256:68a68883d74513deb85d7a0fdc725c58f36b428f195f125dbd63e05b2a47a78a

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=sha256:657886d3f55182a19db6a82f35c14b8026368b69186c6c318442e1106e4c1486

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=sha256:9ff81732fdaa5aa049b0ab87f42ee2a16001acea3ae9887489d5e67cf4cdd5c5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:02.139793Z digest=sha256:f8f2c04b7432507d3b1095f98003285609d1c53281eb43e61670c76159a6b88d

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:ce62ccf8e9dc530a5af063d89ea09f55be18bbe9105b14e511554938a9b87db5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:02.258341Z digest=sha256:5334dbf02c7ea93a32131c7cc51e78a170c02da09bb31db48694b80f3e7f1d6c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:02.299394Z digest=sha256:efc8b72a8b5d45f9faec6afbefad6ab8de6d506d8a325035a629e15b717c61cb

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 2026-08-18T06:34:40.430872+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:03.461298Z digest=sha256:c1ffba5f25529f1d6eec0feb6976a3f8b6fbb76031af02dc5e27c735342789c2

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 2026-08-18T06:34:40.430872+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=sha256:12d0d7d58da8276ca80e44dfac3e6e665f28403cca89957015c9ea5c08856d1d

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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
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no resolver link, observed 2026-08-06T20:40:04.071323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-18T06:34:40.430872+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=sha256:7329d13f53afcf54b358739f48c274b186f5391da49b72fd4449fe14971a6a1d

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:00.334744Z digest=sha256:8b13fd0002e365ac0da9d403b3aede0df007e66db49a803296ecd9e639a0eaf8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T20:40:00.706464Z digest=sha256:ac80de32709fa2ee892e6a99672e8c53c291c8942bbf47a2b3ebcb4892e26551

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 2026-08-18T06:34:40.430872+00:00.

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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=sha256:791fccf6aceb7802ef5ba4b8954f9866a8b50260987cb0bb397b5f1c0b0d944c