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Paper Citation Record · LEDGER

Do We Need Domain-Specific Embedding Models? An Empirical Investigation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.18511.

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

pith.paper-citation-record.v1
2409.18511 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:46:41.727006Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:05:39.850025Z

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 534869e2-2af2-4374-a7bb-aed3c366b551 · inbound

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts cites this paper.

TWICE: What Advantages Can Low-Resource Domain-Specific Embedding Model Bring? -- A Case Study on Korea Financial Texts Do We Need Domain-Specific Embedding Models? An Empirical Investigation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:41.727006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:46:41.727006Z digest=sha256:1f9782486be655a4d8ae4c0c7b2c9e1acd749d3f00d4bb9033b36764705c14b5

Observation eafbd58b-5bd0-4218-ab58-35a5464255ed · inbound

PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder cites this paper.

PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder Do We Need Domain-Specific Embedding Models? An Empirical Investigation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:35.502169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:35.502169Z digest=sha256:aad57e07357767da6cea6f30f148d1aba76b3f9907fdfcc3a88993b4cfac9d68

Observation 65352c45-f023-4246-bce4-477f92c41cde · inbound

FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models cites this paper.

FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models Do We Need Domain-Specific Embedding Models? An Empirical Investigation

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:05:39.913731Z

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=2026-08-07T12:05:38.765616Z digest=sha256:baff0838c7d192b901e508afa68cf5b4d3257788a518220c6236ba68422795db