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Paper Citation Record · LEDGER

Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.09049.

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

pith.paper-citation-record.v1
2311.09049 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:20:46.904071Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T05:06:39.800798Z

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 28048c4a-5ba9-4b3e-9e9b-3d95a016626d · inbound

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender cites this paper.

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:23:31.434430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-23T22:19:41.648222Z digest=sha256:8a0315d6cfeae6cd507992032384f1b075942b7c25b18b7495ca7cd837a16df2

Observation 9c09e7e1-7968-40bd-9652-6448c27c7f24 · inbound

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation cites this paper.

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T10:20:46.904071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:20:46.904071Z digest=sha256:5deb7b29a1b9d7770cbcb73e18d1fbfc6d9f9f68b1a5e1989d6c47f50af0ee3c

Observation c2dd7c34-d94a-41af-912e-82ffc29bd39f · inbound

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization cites this paper.

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T12:53:22.510857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:53:22.510857Z digest=sha256:2780c64e9fbe843351ded36d6362f63ed4950465cc687fd9493b686903db4137

Observation 97639530-7c27-4edd-be49-ef78d13aa6d3 · inbound

LLMs Need Encoders for Semantic IDs Too cites this paper.

LLMs Need Encoders for Semantic IDs Too Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:42:37.364907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T20:32:36.937027Z digest=sha256:d23f7f0e7c44583b632230e584a2c66bf41e402fe2b52187a60f79b009c35625

Observation ec211011-c90e-40d8-8d69-55fe38313684 · inbound

VirtualMLE: A Virtual ML Engineer that Optimizes Sequential Recommenders cites this paper.

VirtualMLE: A Virtual ML Engineer that Optimizes Sequential Recommenders Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:06:39.802171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T08:34:32.266593Z digest=sha256:f7b9b24efd20476ae706e84df07121b93b3fd0a5f944c720305c7f3e6e2262a2

Observation 65b8eea7-bb39-48d0-a1ad-eda3418c1277 · inbound

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation cites this paper.

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-01T20:27:57.602949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:27:57.602949Z digest=sha256:ab98f1ed4facecb466cb98c7594db2c959629b936551d4770ab6d76a164158ea

Observation 938041a2-e239-41b8-b8bc-e2be8ed876a0 · inbound

Guess Where You Go: Generative Next Point-of-Interest Recommendation in Amap cites this paper.

Guess Where You Go: Generative Next Point-of-Interest Recommendation in Amap Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T06:52:13.693193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:52:13.693193Z digest=sha256:1c9e11b5a665490605cd9884b699d7b388d53e4e0a3719bb725332d2c410f5d5