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Paper Citation Record · LEDGER

Large Language Models Are Overparameterized Text Encoders

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.14578.

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

pith.paper-citation-record.v1
2410.14578 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:11:27.263716Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:39:11.065979Z

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 a02c2b83-9487-4298-ad0a-d1c176727c38 · inbound

Lightweight Safety Classification Using Pruned Language Models cites this paper.

Lightweight Safety Classification Using Pruned Language Models Large Language Models Are Overparameterized Text Encoders

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T13:11:27.263716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:11:27.263716Z digest=sha256:e8434a5f0c85a4cc7074602109c0f93f7eb065095bf1a5bff292a2233d274506

Observation 0db4c401-19d1-49e8-aa46-6698d8ac62d5 · inbound

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning cites this paper.

PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning Large Language Models Are Overparameterized Text Encoders

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:39:11.192948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T18:38:59.859206Z digest=sha256:1df355afa43fe16529c3e17689f4e8895e7faae021663155b6b40bce9ac1a60a