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Paper Citation Record · LEDGER

Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.00974.

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

pith.paper-citation-record.v1
2211.00974 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:53:52.521228Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:59:10.459507Z

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 8cecbdba-2ed8-4b5d-b457-33541bc3028e · inbound

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice cites this paper.

LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T18:53:52.521228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:53:52.521228Z digest=sha256:fc72fb473d37cebfce0d01fca39283f7ff1d4b6ad404f64ffef769bafec1a66f

Observation 975e4d73-8d24-4222-b04b-4c10a77f042c · inbound

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval cites this paper.

A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:59:10.526152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T21:59:09.033923Z digest=sha256:33f517e81a221bbeeffb753a7e7e4e5da255c178eee81ba06d99ad7de107c65c