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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:fb37780a6de6251696e15b2a00e956ca163b9f1d19ab9267dfdc36ffa731471a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:99a911ec52f0a3f2b2efc01037b26d90fc77ec82c401f780ed69b207123913c0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:725c7dbfd9941387d074b7047090912f6e7c45ad6f8110ca3dad09998ac4104e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:77f813ee5be765dd578b2ca73b2790b7893da30d84161ec03bada06ab830bd03

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:f2e94a2451e046da76328169159c4b2fb1abb3504356cb971f6922a9d640edb5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:6680b4ebab3eea2dc9fd6ffe4321dcb5b7fc2a906aed54f294f84b96fbb8004c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:7d6174b96ed621175345951bb890a02845ff19cdd87302c9b9009f6bed074b87

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:eec19848a81e34f7590856fbbc136856d633dd46b7af2afc74229ef5d4074d38

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:6ff958a79af876bda8cf0b0a7da13372617d38a0eb32440d2a004bbbdcdbfbde

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:8bb5bbc2d220ab8033b7c4ceb3f00cdda6634a1ee8e660362981e17146f57c98

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:0bb12b1f96481f311e7ec1b4373527ff5107c6b4215a65d310978a1467e6cd86

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T10:16:50.346876Z digest=sha256:7b5260f4fbf33ef7b16eba9c600c6710137d914d538f9ce467379b6466d8705b

Pith citing papers

No inbound Pith citation observations are available.