Paper Citation Record · LEDGER

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2606.28708.

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

pith.paper-citation-record.v1
2606.28708 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:16:50.346876Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

12 of 12 outbound references displayed

verified exact1
verified fuzzy6
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9fe1d267-8574-42ad-85d6-434b8d7a624b · outbound

This paper cites All-at-once Optimization for Coupled Matrix and Tensor Factorizations.

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models All-at-once Optimization for Coupled Matrix and Tensor Factorizations

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T12:44:39.656972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50aee71c-750d-4378-a9b2-e4b313b26746 · outbound

This paper cites Proceedings of the 33rd ACM International Conference on Information and Knowledge Management , pages =.

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models Proceedings of the 33rd ACM International Conference on Information and Knowledge Management , pages =

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:24:36.105614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59766639-cd1e-4162-987f-ba3f2c550906 · outbound

This paper cites In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management.

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models In: Proceedings of the 29th ACM International Conference on Information & Knowledge Management

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T14:36:17.973175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57679cc4-e155-4bf4-ac1a-f82c033a9c2d · outbound

This paper cites LLMs for Explainable AI: A Comprehensive Survey.

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models LLMs for Explainable AI: A Comprehensive Survey

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:44:39.654122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2577ee54-aecd-4b4d-ac36-0b4c8373a210 · outbound

This paper cites SIAM review 51(3), 455–500 (2009).

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models SIAM review 51(3), 455–500 (2009)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T14:36:17.980103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 212bbba1-29d7-4cf9-9bfa-bdda75cc8a0b · outbound

This paper cites LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs.

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models LLMs Understand Glass-Box Models, Discover Surprises, and Suggest Repairs

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:44:39.665216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e3b996b-934f-46b5-8a5a-db49036449fa · outbound

This paper cites GraphNarrator: Generating Textual Explanations for Graph Neural Networks.

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models GraphNarrator: Generating Textual Explanations for Graph Neural Networks

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:44:39.659675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7b41646d-5737-4711-a6e8-4e38c02f9813 · outbound

This paper cites In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management.

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T14:36:17.976633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c885e45-ad3c-4061-985c-4ec02bcdc240 · outbound

This paper cites IEEE Transactions on signal processing65(13), 3551–3582 (2017).

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models IEEE Transactions on signal processing65(13), 3551–3582 (2017)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T14:36:17.978430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f08d01ec-2278-4df6-8453-b8c1ad3d3ede · outbound

This paper cites Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:44:39.662541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1ee8396-1de2-4d81-aed9-c5c160099157 · outbound

This paper cites Transactions of the Association for Computational Linguistics13, 357–375 (2025).

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models Transactions of the Association for Computational Linguistics13, 357–375 (2025)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T14:36:17.974924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aa64cbc4-d992-4a8e-98ce-a2a198219b4e · outbound

This paper cites In: The Thirty-eighth Annual Conference on Neural Information Processing Systems.

AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models In: The Thirty-eighth Annual Conference on Neural Information Processing Systems

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T14:36:17.971468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.