Paper Citation Record · LEDGER

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.12459.

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

pith.paper-citation-record.v1
2412.12459 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:06:40.730618Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy13
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d94dee87-c4bb-458c-8a62-bc2319e210cf · outbound

This paper cites an unresolved cited work.

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:06:41.007114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 94322b1e-02ff-4d98-8bdd-dc47d643e15d · outbound

This paper cites Proceedings of GSCL30, 31–40 (2009).

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework Proceedings of GSCL30, 31–40 (2009)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.991569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d35e4cbd-280b-4b3a-bdef-f8483843b231 · outbound

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

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework In: Proceedings of the ACM Web Conference 2022

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.975150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e33e7a06-4c1f-42f8-bbd0-3ea09e4bacc4 · outbound

This paper cites Trans- actions of the Association for Computational Linguistics8, 439–453 (2020).

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework Trans- actions of the Association for Computational Linguistics8, 439–453 (2020)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.960202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7fbba316-ee5e-4b78-9139-f1b76cf7c4d9 · outbound

This paper cites Transactions of the Association for Computational Linguistics5, 529–542 (2017) 12 Chang et al.

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework Transactions of the Association for Computational Linguistics5, 529–542 (2017) 12 Chang et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.945651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 591ed60a-9eac-41de-ba77-85f83de43df5 · outbound

This paper cites an unresolved cited work.

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:06:40.930851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dc076428-6529-49b2-a704-ee56f74b18d3 · outbound

This paper cites In: Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics.

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework In: Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.916360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b28e6981-5e68-402c-91a2-8c78e52ed9a1 · outbound

This paper cites Naval research logistics quarterly 2(1-2), 83–97 (1955).

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework Naval research logistics quarterly 2(1-2), 83–97 (1955)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:40.687896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c979f82e-365f-4f7a-8c3d-bd25b85bf480 · outbound

This paper cites 331–339 (1995).

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework 331–339 (1995)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.891963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7d1b224f-b59a-4247-bf55-38c48c4a9751 · outbound

This paper cites an unresolved cited work.

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:06:40.878402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ab11b94e-1488-407d-be15-629337d38ef0 · outbound

This paper cites In: Proceedings of The Web Conference 2020.

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework In: Proceedings of The Web Conference 2020

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.864991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 663a5ee7-fe86-4568-ba50-bf9ecfcab328 · outbound

This paper cites In: Proceedings of the 2024 Conference of the North Amer- ican Chapter of the Association for Computational Linguistics: Human Language Technologies.

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework In: Proceedings of the 2024 Conference of the North Amer- ican Chapter of the Association for Computational Linguistics: Human Language Technologies

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.851527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 931c60e3-d7c7-43dc-b5de-dc4639fe0ba0 · outbound

This paper cites Journal of machine learning research3(Dec), 583–617 (2002).

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework Journal of machine learning research3(Dec), 583–617 (2002)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:06:40.709674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 985d83d8-a106-4b69-bbd7-ca0288f3df82 · outbound

This paper cites In: Annual Conference on Neural Information Processing Systems.

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework In: Annual Conference on Neural Information Processing Systems

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.826147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6c7f6697-d9dd-4818-97fc-151da782f66a · outbound

This paper cites Transactions of the Association for Computational Linguistics 12, 321–333 (2024).

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework Transactions of the Association for Computational Linguistics 12, 321–333 (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.811362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 03818b86-447e-4fbe-8b79-9b0a73991958 · outbound

This paper cites In: 2023 IEEE International Con- ference on Big Data (BigData).

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework In: 2023 IEEE International Con- ference on Big Data (BigData)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.795810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation abc9194f-f129-4c65-8df4-6fcf81a5d2ad · outbound

This paper cites In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.781407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac2d530b-a57c-40ac-9038-b64f3b4173f4 · outbound

This paper cites In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:06:40.766470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.