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Paper Citation Record · LEDGER

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation

As of 6 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2604.14833.

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

pith.paper-citation-record.v1
2604.14833 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T10:08:51.386465Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

  • verified exact16
  • verified fuzzy3
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d21e5e55-b7cb-4f46-b666-6e605b1fc57a · outbound

This paper cites Multi-Task Deep Neural Networks for Natural Language Understanding.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Multi-Task Deep Neural Networks for Natural Language Understanding

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.474792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:11c26075bd377e7c0429f4b1a0fcd5c09ffab45b4140fbdc6e4dabec94775cc2

Observation 60de275a-2c02-48a1-acd0-6f87aaf99d98 · outbound

This paper cites When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:09:06.455903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:bbdf1f376c938aceddcf0197ae22c83c9a9839715b2b440ce465f948d28ea6ab

Observation 5b413009-8955-43f0-b0c1-4c2c922a2fbd · outbound

This paper cites Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.518107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:b2407bd5c85f8cbea6a79d401c00d93383502685f02c040b9fe1d688a4a4ec4b

Observation 87d833df-2503-4c05-83c5-f41efe7acef3 · outbound

This paper cites arXiv preprint arXiv:2411.14459 (2024).

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation arXiv preprint arXiv:2411.14459 (2024)

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T10:09:06.503865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:60799bcd70bf6fc241a0d2c4b0f0de01a2d210241ae37ce03bbc015fda4a86ea

Observation 6255e62f-211c-4c97-adb7-fa1e3dac5b40 · outbound

This paper cites LLM-Rec: Personalized Recommendation via Prompting Large Language Models.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.508610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:3d54d4dac8985ff0ffc9a2b6a247d791f0795b4c84f8117be26b45a354e9a90a

Observation 6a419e2e-d680-4a91-bfa1-448a5fb2170b · outbound

This paper cites A Survey on Cross-Domain Sequential Recommendation.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation A Survey on Cross-Domain Sequential Recommendation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.513590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:b0e77322bc9e054cd3ba10e99ab98c4ef855629b60fc9a9937bf0812ceef6352

Observation 161f6da1-3b4d-4c51-8f88-22b9f963e0a2 · outbound

This paper cites DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.462646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:735432974f1e9752821779a96be4ec1f85456c7cc85e1601789e998796be83c2

Observation 88381f10-9fb1-416c-ae1b-1943ae5742ee · outbound

This paper cites Cross-Domain Recommendation Meets Large Language Models.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Cross-Domain Recommendation Meets Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.527857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:6f653e57b6e3e85551c9413b0f5a94a3d82569b9984084dbf24dc659ac54697b

Observation deb9bf0f-f2da-4cfa-9e94-0195322608e4 · outbound

This paper cites Prompt-enhanced federated content representation learning for cross-domain recommendation.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Prompt-enhanced federated content representation learning for cross-domain recommendation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T01:23:20.618378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:885178d8ec7f4e293e65be4330d1efa90753e3c1f3878ca5a8a9a0076363c7c2

Observation 5b4eb624-217c-41ed-b4f5-8347147c7777 · outbound

This paper cites Semantic-enhanced co-attention prompt learning for non-overlapping cross- domain recommendation.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Semantic-enhanced co-attention prompt learning for non-overlapping cross- domain recommendation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.498729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:bc4aac9c722e5017f54fa9eeb10d46a759de92ffd444f5ddc408d0a0ed2b4403

Observation 8c0a1572-49e4-4ec2-819b-6379608e71e1 · outbound

This paper cites Session-based Recommendations with Recurrent Neural Networks.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Session-based Recommendations with Recurrent Neural Networks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:09:40.489683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:d704c0a2355fb029a4ce15ea7c507b4b869a452c152a8507fee65aeabb3be907

Observation 82d987c0-7c1e-4f26-aa9d-bed42939e3c3 · outbound

This paper cites From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.484721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:a66bc5fc73a78d237ebb8ef9fea9d89e984909b304584147ddb0caabb5099018

Observation 0e2defba-556e-4ee8-ab61-2b1aa184cc4c · outbound

This paper cites Language-Based User Profiles for Recommendation.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Language-Based User Profiles for Recommendation

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.494147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:8fbbb35afec7103a6de915002bdd042626b9911aeda2aff7d95a6ca52ce6115b

Observation e7556470-c677-4f06-b56b-73c0af3f6d90 · outbound

This paper cites Zero-Shot Recommender Systems.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Zero-Shot Recommender Systems

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.445390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:d573ddc50ae71776d12fcf3722af5653dcc560e88b0bbfe6eac9250a8364fb3e

Observation 3fbcb6cc-4f69-4052-a9cd-b66d15077a0c · outbound

This paper cites Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.450475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:e0ca4941d4d3f2e168e99ec1babb0be3dd23b08928bdc60d7ee603d85a9d8af1

Observation 0d2b7ddd-5a4e-4d7c-b6ac-a86901e524cf · outbound

This paper cites Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.523202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:e1d9f778f00a11465872f620bdb79b153ebc41282f9990fbad01e2d01cc4374b

Observation 63296309-40bd-442b-8c4a-3ca24b3f0ff0 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T01:23:20.621819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:3f2a3c65eb69c3efbe15188669bbed51f41fcd17a5ebbf2efa492aaaedd3688b

Observation a262b39d-606f-4624-bd98-68ef911c8c77 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:54:09.090339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:ae57510e9d216d68b737394da27568630e4b5d78758343591a3dc7e7907c9d90

Observation 385fe5d8-4359-4a33-a158-5cbc609cd490 · outbound

This paper cites iDLG: Improved Deep Leakage from Gradients.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation iDLG: Improved Deep Leakage from Gradients

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.489828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:4d930d631603a0d2388481a88bf569e1b5c4c1758071e7e2fd01562f34d6298b

Observation e1f6352f-a0c2-4308-a3dc-344dd20af806 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation OPT: Open Pre-trained Transformer Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T20:53:19.162556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:6800fd1cab98f28a1c2d9d9f80e25a3fce2cead48302c2216a4ff4fbd2825a32

Observation 862ddfb0-008a-4210-88f8-d153ddea123b · outbound

This paper cites Recguru: Adversarial learning of generalized user representations for cross-domain recommendation.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation Recguru: Adversarial learning of generalized user representations for cross-domain recommendation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T01:23:20.625335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:b180c36fc6f152bac4327c904561e9f6651097629a23bdb0bb0c7897e302eb9b

Pith citing papers

No inbound Pith citation observations are available.