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Paper Citation Record · LEDGER

Language Models As Semantic Indexers

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2310.07815.

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

pith.paper-citation-record.v1
2310.07815 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:30:06.611004Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:13:57.084530Z

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 3959d705-327b-4315-8e93-b8c9c67c8058 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Language Models As Semantic Indexers

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:57.087833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:7860baacf69c88216285e362ec2cbfe0b903d50c8770a8e0b410abfb9adc3ae4

Observation 331bb530-99a4-4419-92a0-375956b2863d · inbound

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation cites this paper.

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation Language Models As Semantic Indexers

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T14:30:06.611004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:30:06.611004Z digest=sha256:0b905891120afdcb4f0a61041d80c9fd8697105b7014fa8b29dc161676759305

Observation 1abace0a-9584-46d4-8003-d6935629bf63 · inbound

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization cites this paper.

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization Language Models As Semantic Indexers

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:20.793694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:20.793694Z digest=sha256:79ae35205b0e29c6aad6acefad93b9d1cdc415f8f64525b7b64522fc39bf6cc7

Observation f07951a6-43fb-43b5-9b59-56fd3457d52b · inbound

Generative Recommendation with Semantic IDs: A Practitioner's Handbook cites this paper.

Generative Recommendation with Semantic IDs: A Practitioner's Handbook Language Models As Semantic Indexers

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T12:01:13.202794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:01:13.202794Z digest=sha256:23d2456e4829ac4e5d36303bea21a1cef962498c14937d02c7f044f3968766df

Observation 3a653d58-86f0-4ba6-8266-7f1bf3290d23 · inbound

Sequential Data Augmentation for Generative Recommendation cites this paper.

Sequential Data Augmentation for Generative Recommendation Language Models As Semantic Indexers

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:44:24.359480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-21T22:43:37.684798Z digest=sha256:cd13deb38424d32505bfad310e164c4a73af84348875af2c9bc1d88dd60f3c0d

Observation e6d3a88a-d69d-40c6-ba96-07289704ed25 · inbound

SenSE: Semantic-Aware High-Fidelity Universal Speech Enhancement cites this paper.

SenSE: Semantic-Aware High-Fidelity Universal Speech Enhancement Language Models As Semantic Indexers

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:36:22.312232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T12:35:19.023045Z digest=sha256:46f0a2f27163a8c2a210835dd4670d4c6710cb477254578da085c249d94a4c4d