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Paper Citation Record · LEDGER

Linear Algebraic Structure of Word Senses, with Applications to Polysemy

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1601.03764.

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

pith.paper-citation-record.v1
1601.03764 v6

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 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:17:17.130412Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T06:16:20.379382Z

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 20753915-9b9d-443d-adc4-27db4a1a1be8 · inbound

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders cites this paper.

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders Linear Algebraic Structure of Word Senses, with Applications to Polysemy

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T21:17:17.130412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:17:17.130412Z digest=sha256:934ebfd905bc39fdf44c2ab1443e3a238d3664d6380f9f1f3ed20e0542416c11

Observation b09f77b0-957d-4be2-b64f-50b9328f696a · inbound

Feature learning is decoupled from generalization in high capacity neural networks cites this paper.

Feature learning is decoupled from generalization in high capacity neural networks Linear Algebraic Structure of Word Senses, with Applications to Polysemy

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:17:37.023904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:17:37.023904Z digest=sha256:d792d0a52f775ce92253c594624587afd8dc28c75029a691ec0cd8ff87207b4a

Observation 9fa16690-8e9c-4565-a0e8-927a8e7c8b18 · inbound

Isotropy Cliffs: The Geometric Signature of Decision-Making in Large Language Models cites this paper.

Isotropy Cliffs: The Geometric Signature of Decision-Making in Large Language Models Linear Algebraic Structure of Word Senses, with Applications to Polysemy

Reference 78

Resolution
verified exact
local_arxiv, observed 2026-08-05T00:16:20.186295Z

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=arxiv_source observed=2026-08-05T00:16:19.228196Z digest=sha256:6933322fe557c5df15718a565522ce138069851dac43c1089eb06f95aa8272b8