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Paper Citation Record · LEDGER

A Survey of Pre-trained Language Models for Processing Scientific Text

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.17824.

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

pith.paper-citation-record.v1
2401.17824 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:26:12.528207Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b596eeb0-4b58-44bf-8422-a3d798e8e072 · inbound

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data cites this paper.

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data A Survey of Pre-trained Language Models for Processing Scientific Text

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T21:26:12.528207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:26:12.528207Z digest=sha256:7d96f44e435926c249a963de7e147ac463c9dd4e953f236287a0617c9c1220db

Observation 86afb162-086c-405b-8b3b-df229134a3e2 · inbound

KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback cites this paper.

KeySI: An Interaction Framework for Tuning Text Embeddings Based on Human Feedback A Survey of Pre-trained Language Models for Processing Scientific Text

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-01T23:13:48.743983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-01T23:08:59.696485Z digest=sha256:ed95b856f3331c764e12eac01defc73aa8f1791699da0b5e102709fc234d744e