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Paper Citation Record · LEDGER

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models

As of 22 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.14396.

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

pith.paper-citation-record.v1
2607.14396 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:14:48.413435Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9380598a-cc24-4df5-8b88-fac1738e47ce · outbound

This paper cites SAGE: Structured Attribute Value Generation for Billion-Scale Product Catalogs.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models SAGE: Structured Attribute Value Generation for Billion-Scale Product Catalogs

Reference 1

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source=pdf_text observed=2026-08-02T02:14:45.229111Z digest=sha256:74638473cc81c0a3d85867ec71541bd05b5caf9c986268f560265d1bf8a1287e

Observation bdd3f2aa-731a-403f-afe0-ca8299c478bc · outbound

This paper cites In: Proceedings of EMNLP 2025, Industry Track (2025).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: Proceedings of EMNLP 2025, Industry Track (2025)

Reference 2

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source=pdf_text observed=2026-08-02T02:14:45.379514Z digest=sha256:6afffa79113cb3756aa71529f1f0038c7c809f0de0d0f58f65ffe368af6ceb92

Observation 39c43788-988b-4f73-9849-cc467db3388a · outbound

This paper cites In: Proceedings of EMNLP 2025, Industry Track (2025).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: Proceedings of EMNLP 2025, Industry Track (2025)

Reference 3

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Observation a816a603-f605-405d-b808-5937e3375343 · outbound

This paper cites arXiv preprint (2026).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models arXiv preprint (2026)

Reference 4

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source=pdf_text observed=2026-08-02T02:14:45.628957Z digest=sha256:dd478d948f98ae570b52cde70be48ae7930a0a54ed1eefd88e61b286ecb794ee

Observation 89656288-b8b6-44b5-92e6-2eafec00ad6a · outbound

This paper cites arXiv preprint arXiv:2411.16594 (2025).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models arXiv preprint arXiv:2411.16594 (2025)

Reference 5

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source=pdf_text observed=2026-08-02T02:14:45.835188Z digest=sha256:86564cb745935ec953d4d865af1534e35126b77cc12317815cc1994e0987473b

Observation 3acaa0b8-9689-40b3-9882-f54692a7662a · outbound

This paper cites A Survey on LLM-as-a-Judge.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models A Survey on LLM-as-a-Judge

Reference 6

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source=pdf_text observed=2026-08-02T02:14:45.994758Z digest=sha256:07fd7b5beb71cb9eefc71f3924e429c56a8e06db303b37658d8a914ad079bc51

Observation 0e6f4991-d513-441b-8dfb-b3eb77a2ff1d · outbound

This paper cites In: The Eleventh Interna- tional Conference on Learning Representations (2022).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: The Eleventh Interna- tional Conference on Learning Representations (2022)

Reference 7

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source=pdf_text observed=2026-08-02T02:14:46.124999Z digest=sha256:685928a9ea828ec963c273b684d686283b7684769749199c580edf3928b428bb

Observation 44eb32d3-cb10-4075-a594-3f20776d3caa · outbound

This paper cites In: Pro- ceedings of EMNLP, pp.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: Pro- ceedings of EMNLP, pp

Reference 8

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source=pdf_text observed=2026-08-02T02:14:46.217597Z digest=sha256:37bd0089665511d16f4d34db6083cc6c8edd46b7183f3c3d4dc27ee9de03ca1d

Observation 789f3b55-3d5d-47f3-a5de-6c78c2612238 · outbound

This paper cites arXiv preprint (2021).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models arXiv preprint (2021)

Reference 9

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Observation 4c6c10b3-1ad9-4b36-b9e0-35867c291a91 · outbound

This paper cites In: Proceedings of WSDM ’22, pp.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: Proceedings of WSDM ’22, pp

Reference 10

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source=pdf_text observed=2026-08-02T02:14:46.377257Z digest=sha256:2ea69f15b22a450547728f4548923af1783290711649c689112d0d9e8f113a61

Observation 338ce91d-5642-486c-b831-96deec6a0e6f · outbound

This paper cites In: Proceedings of EMNLP 2025, Industry Track (2025).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: Proceedings of EMNLP 2025, Industry Track (2025)

Reference 11

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source=pdf_text observed=2026-08-02T02:14:46.462777Z digest=sha256:26638e61fbe282ad2b6044d310d4c583da248ffebb7efa97ad43fd62f24c6031

Observation e8bfcc52-49a0-4acf-b92e-5525cc1b81e5 · outbound

This paper cites In: KDD 2025 Workshop on LLM4ECommerce (2025).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: KDD 2025 Workshop on LLM4ECommerce (2025)

Reference 12

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source=pdf_text observed=2026-08-02T02:14:46.538572Z digest=sha256:b8a16021ecf590725124fd017a4dd2608b85eeb5b219c2d2e9f8e9ba1125eeba

Observation ca675630-4279-4937-861d-b5e99a24189f · outbound

This paper cites an unresolved cited work.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models Unresolved cited work

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:14:46.619662Z digest=sha256:3d6c2deb14f628e450987ab55ae78c57eae5f7fad34c965bf305b0951faffa42

Observation 79c4a4e8-7986-47dd-8a45-33cec6b6737b · outbound

This paper cites In: Proceedings of the 1st Workshop on Customizable NLP (Cus- tomNLP4U), pp.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: Proceedings of the 1st Workshop on Customizable NLP (Cus- tomNLP4U), pp

Reference 14

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Observation d60bbe11-467a-49ad-9e91-1e21593d0bee · outbound

This paper cites an unresolved cited work.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-02T02:14:46.887397Z digest=sha256:99a17343445bbad21164481fd83be020141b098ecceff823f5419cf952ebbf2b

Observation b471db81-8460-4db5-bd1c-378e3e1f0f21 · outbound

This paper cites Advances in Neural Information Processing Systems36, 68539–68551 (2023).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models Advances in Neural Information Processing Systems36, 68539–68551 (2023)

Reference 16

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source=pdf_text observed=2026-08-02T02:14:47.015872Z digest=sha256:5754b7a0f7d480087ea771e4f3bb3a1904f07f41ba4498321a4ced60db717144

Observation 66a605aa-8569-493e-9365-feab8cbcf501 · outbound

This paper cites TALM: Tool Augmented Language Models.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models TALM: Tool Augmented Language Models

Reference 17

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source=pdf_text observed=2026-08-02T02:14:47.091499Z digest=sha256:43660933a80137e492600f06f84330957a998ebf6c3cfd0fd447e3e756a9dfb5

Observation 4992190e-3136-414c-9cc0-041578a59a61 · outbound

This paper cites HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation

Reference 18

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source=pdf_text observed=2026-08-02T02:14:47.196768Z digest=sha256:b949344fe4122e81233c3f7816ece843c73f32d83d9393a2114d831ba8a331e6

Observation 6810b6cd-ea3f-42d1-9c00-fafe972c9ca4 · outbound

This paper cites arXiv preprint arXiv:2410 (2024).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models arXiv preprint arXiv:2410 (2024)

Reference 19

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Observation 3a4e101d-7c11-4126-81a2-6a841558769d · outbound

This paper cites In: Findings of the Association for Computational Linguistics: NAACL 2025, pp.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: Findings of the Association for Computational Linguistics: NAACL 2025, pp

Reference 20

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Observation cc6c31c7-476d-4fb0-8ba8-ebb0e914746a · outbound

This paper cites QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models QualityFlow: An Agentic Workflow for Program Synthesis Controlled by LLM Quality Checks

Reference 21

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Observation 7fc41c68-f9c6-44d9-98b6-80a6ca11f7fa · outbound

This paper cites In: Forty-first International Conference on Machine Learning (2023).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: Forty-first International Conference on Machine Learning (2023)

Reference 22

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Observation 082f35aa-6d33-43ee-ae89-fd3ea8bb089d · outbound

This paper cites Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models

Reference 23

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Observation bfb83d34-6ee9-4805-929f-52ba474ce50a · outbound

This paper cites In: NeurIPS (2023).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: NeurIPS (2023)

Reference 24

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Observation b4147793-8dea-4ca3-81ef-2325be342121 · outbound

This paper cites In: NeurIPS (2023).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: NeurIPS (2023)

Reference 25

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Observation ad8abad1-faf5-4977-8f4f-c9cc84284a2e · outbound

This paper cites arXiv preprint arXiv:2412.01928 (2024).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models arXiv preprint arXiv:2412.01928 (2024)

Reference 26

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source=pdf_text observed=2026-08-02T02:14:47.902113Z digest=sha256:634a4afe7397da3d6f0c5e4b1c4b909824d41a0bfb87995d227bb745d43275e1

Observation c7f47b05-1374-42b3-afc5-1e9483f2ece0 · outbound

This paper cites In: ICLR (2024).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: ICLR (2024)

Reference 27

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Observation 91376bcf-96b4-4604-ad5d-e90e502f76be · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelli- gence, vol.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: Proceedings of the AAAI Conference on Artificial Intelli- gence, vol

Reference 28

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source=pdf_text observed=2026-08-02T02:14:48.207723Z digest=sha256:58af57140b8f286bce7a9091ed63784160bb91ef28f287ef30901de303b14eb6

Observation c16d75de-63d3-4048-8834-bab806ed5aff · outbound

This paper cites In: ICLR (2024).

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models In: ICLR (2024)

Reference 29

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source=pdf_text observed=2026-08-02T02:14:48.327223Z digest=sha256:76729c3ad542433f744429db2613e2046a8b7d773bbb13202a957d0d0267fa4c

Observation daa72bd8-2edc-47d4-bd8f-f81e15c25110 · outbound

This paper cites Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.

CatalogAgent: A Supervisor-mediated Self-Learning System Enabling Context Engineering for GenAI Models Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reference 30

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Pith citing papers

No inbound Pith citation observations are available.