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Paper Citation Record · LEDGER

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction

As of 19 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2501.01237.

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

pith.paper-citation-record.v1
2501.01237 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:37:22.678439Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:06:04.669396Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:58.484168Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7718a3f-9176-4a8a-b41b-c3eb9b4992d9 · outbound

This paper cites In: Advances in Databases and Information Systems.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Advances in Databases and Information Systems

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:23.033320Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.583812Z digest=sha256:1ce7199a2b14fc49a0f9f24257a4f85ea7fca3aa45ef334b92a81940e2026c3d

Observation e482c10a-fe00-445f-9f06-37bca16c8567 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Advances in Neural Information Processing Systems

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:23.019744Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.588712Z digest=sha256:154b86508bd3fbeb5f4ff56db548ea003c844dbff2bf8bd1cc94f76048d7550c

Observation 683e6fbf-fd59-453c-99b6-6669736cb70f · outbound

This paper cites In: Information Integration and Web Intelligence.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Information Integration and Web Intelligence

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:23.005264Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.593297Z digest=sha256:8e0cce7886c267607eaba5248285adc42b94bdae25e21642fc568aedeefe9082

Observation ce2a8f43-a667-4b32-ab33-03a213e4a7a9 · outbound

This paper cites In: Proceedings of the 47th ACM SIGIR International Conference on Research and Development in Information Retrieval.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 47th ACM SIGIR International Conference on Research and Development in Information Retrieval

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.990733Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.597699Z digest=sha256:c4d0c45f00550e7018c60745fa5e061cf82ea0cd145b7ff65055ea6f84c754e9

Observation bdc1cf9a-8c0e-4d17-a9eb-171553ff58c0 · outbound

This paper cites In: Proceedings of the 3rd Machine Learning for Health Symposium.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 3rd Machine Learning for Health Symposium

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.976812Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.602097Z digest=sha256:7cdb94c3fb714d2e8ef3d602593152f97e4aade5bf8100f5c115ceab602fe97a

Observation 1968cd1b-2803-41d3-9306-b721ffd98ad8 · outbound

This paper cites In: Proceedings of the Twelfth International Conference on Learning Representations.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the Twelfth International Conference on Learning Representations

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.962039Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.606898Z digest=sha256:6f2a3a4d46e413a2731b14c6b882d7935ef4b1783ef7e7cd97155beda23c3eb5

Observation 24d04fec-944d-46eb-8fbf-8f40d5646950 · outbound

This paper cites Advances in Neural Information Processing Systems, 36:46534--46594, 2023.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Advances in Neural Information Processing Systems, 36:46534--46594, 2023

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.947737Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.611874Z digest=sha256:90e874dbbffe22d1e86d542c187fab7599459069d0f71ab23c758f4db16d6349

Observation 9767dd16-3a2d-4afe-9cd6-6de17b53d0d6 · outbound

This paper cites an unresolved cited work.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:37:22.933323Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.616701Z digest=sha256:e70349e8b03daea0f74cca4023a48b3177db4e0ca0bcf53bf7c8ae14df58b09a

Observation dca70af1-9c14-4934-9fd1-dddf1f77c2c0 · outbound

This paper cites In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.919767Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.620771Z digest=sha256:a22ba544eaaf942a93d5d1773dd7195c72a40d065de896b88f6be5d8da561e41

Observation 79770fb7-be2c-44b5-934b-628f0400f57e · outbound

This paper cites Transactions of the Association for Computational Linguistics, 12:484--506, 2024.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Transactions of the Association for Computational Linguistics, 12:484--506, 2024

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.906305Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.625158Z digest=sha256:5c811a3951fbf03a646b9279f57295a4f8d24efeec6bc1cc3c7e16493a0bdbd5

Observation 99fc8d07-6e1a-4bd6-8822-859d70d4a59b · outbound

This paper cites In: Findings of the Association for Computational Linguistics : EMNLP 2023.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Findings of the Association for Computational Linguistics : EMNLP 2023

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.891765Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.629077Z digest=sha256:bcc8b84696d3373c2098cae0c469a4a5c23ef955dc11254707854d71dfebad61

Observation 72f7c6a4-9958-4c41-9c95-c2c0e11f07c3 · outbound

This paper cites Advances in Neural Information Processing Systems, 36:36339--36348, 2023.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Advances in Neural Information Processing Systems, 36:36339--36348, 2023

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.877690Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.633161Z digest=sha256:a59d6b1e609f35db31cdaa3d584384136b42c7297d269be547fc16da7e2a1ccd

Observation f54ccd0f-0b60-4abf-8af9-22c97e0c8112 · outbound

This paper cites Advances in Neural Information Processing Systems, 36:8634--8652, 2023.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Advances in Neural Information Processing Systems, 36:8634--8652, 2023

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.863158Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.637431Z digest=sha256:98db815eff6626296daaf0dd402a103b45a102d38ec3598b848117491ecb6f78

Observation 0397bb12-4e19-4e06-bba8-12cc17f987a7 · outbound

This paper cites Transactions on Machine Learning Research, 2022.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Transactions on Machine Learning Research, 2022

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.848074Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.641348Z digest=sha256:4354d17c94d9b9d33007efa7ceac540dc4ee2c441763ad1c6ad17f156768ff5c

Observation 28187a44-c65c-41d0-b90b-beedfe444b76 · outbound

This paper cites In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.833246Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.645268Z digest=sha256:fb62c7ad83d5991e5ceede41e994bc16f29b0bb66fd63c20c4c70414054b5278

Observation d5eb7096-0f1f-4c3b-9556-a3d823c411f3 · outbound

This paper cites In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.815785Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.649418Z digest=sha256:da9afc503812724bf05b1f6bb71f3c607b1a67743dfb3996c34aab42a738ca10

Observation d0b3157f-dbe0-4a18-a318-804509cf6337 · outbound

This paper cites Frontiers of Computer Science, 18(6):186357, 2024.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Frontiers of Computer Science, 18(6):186357, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.799379Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.653578Z digest=sha256:4344334fad81adcbcdd3812a8ca97e781c9ceb9606b3fab5c3700df17015ddaa

Observation f5f62285-503c-4958-a20d-9a76c4462943 · outbound

This paper cites In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.785101Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.657760Z digest=sha256:34f8051d6b1647a428f192676c892e70d6a58c24d19344b8f5242aa97dc1067a

Observation 23dee0e2-5cbc-4010-9825-0edad27bd42c · outbound

This paper cites In: Proceedings of the ACM Web Conference 2022.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the ACM Web Conference 2022

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.770472Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.661445Z digest=sha256:716d37d12b4f09a0915f7a94b6ffa7bc3f1c72fc553127efaa92a77eec1ce982

Observation 1ac5fbb4-c497-4e6f-8725-b2bdfc257f11 · outbound

This paper cites In: Proceedings of the 31st International Conference on Computational Linguistics.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction In: Proceedings of the 31st International Conference on Computational Linguistics

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.755866Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.665112Z digest=sha256:d98d68597929840dbad9554cb8244b3fbd48ccc6fe8d6f0d676829907f754ec7

Observation b23d961f-42b3-429c-b2eb-22a5feccd106 · outbound

This paper cites Journal of Computers, 4(6):436--443, 2009.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction Journal of Computers, 4(6):436--443, 2009

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:37:22.739776Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-10T22:37:22.669178Z digest=sha256:54a037c23a3c8adc15442186750d99656cd39c4491141f3af64819b50d93ec53

Observation e2d4c5a1-5af6-4328-9ac4-6fccc335d8c0 · outbound

This paper cites write newline.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction write newline

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T22:37:22.673134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:37:22.673134Z digest=sha256:bb68af0b43c626d5d8a3b6c3e2939a23211a931ab190d3f732c8835cd11de5da

Observation 8bde3363-6d0e-4460-ad55-0a33a5871e7a · outbound

This paper cites write newline.

Self-Refinement Strategies for LLM-based Product Attribute Value Extraction write newline

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:37:22.678439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:37:22.678439Z digest=sha256:d4c6fe83853ab65dfd602f8b20707b203c591bea81251fcd098bd0293de7d896

Pith citing papers

Observation 711c2df0-a307-4946-b6d4-09013f7ddf1b · inbound

AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach cites this paper.

AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach Self-Refinement Strategies for LLM-based Product Attribute Value Extraction

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:49:58.485643Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-26T00:08:52.711205Z digest=sha256:8c9f43a0968f16d537118e607b41d162b9931fb6a908a5a63b56dd6fc3dad04a

Observation 55609727-35ae-4452-8679-0b478d0658a2 · inbound

Beyond Exact Match: How Evaluation Methodology Dominates Model Choice in LLM-Based Product Attribute Extraction cites this paper.

Beyond Exact Match: How Evaluation Methodology Dominates Model Choice in LLM-Based Product Attribute Extraction Self-Refinement Strategies for LLM-based Product Attribute Value Extraction

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T04:06:04.669396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:06:04.669396Z digest=sha256:e5794464a70ca1286fc1ac911a3254b9b85eb38da9285a8703ce728519b4fc0d