Paper Citation Record · LEDGER

A Survey on Long Text Modeling with Transformers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2302.14502.

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

pith.paper-citation-record.v1
2302.14502 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:02:23.438663Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:55:20.440729Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ea5be981-a0f9-4c63-a751-247b932025a0 · inbound

MemGPT: Towards LLMs as Operating Systems cites this paper.

MemGPT: Towards LLMs as Operating Systems A Survey on Long Text Modeling with Transformers

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:27:29.101137Z

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 4048f86a-6da6-45a6-bd6f-7a7592377cac · inbound

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval cites this paper.

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval A Survey on Long Text Modeling with Transformers

Reference 143

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T13:07:16.456143Z

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 ebe07208-9cfc-4b7c-929c-9df1106d0d90 · inbound

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation cites this paper.

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation A Survey on Long Text Modeling with Transformers

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:55:20.442658Z

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 bc95f4ef-eb88-4cfa-9466-24685a992cf8 · inbound

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation cites this paper.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation A Survey on Long Text Modeling with Transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T13:02:23.438663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.