Paper Citation Record · LEDGER

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation

As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.01695.

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

pith.paper-citation-record.v1
2505.01695 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:16:02.147610Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

41 of 41 outbound references displayed

verified exact0
verified fuzzy2
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44daa167-c293-41b1-8b63-c87851a43fc5 · outbound

This paper cites online" 'onlinestring :=.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.022853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00edceff-433c-406a-afc3-176a6a7ec395 · outbound

This paper cites write newline.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.027058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08caeec1-8866-4538-ba96-8cfdd5226f89 · outbound

This paper cites Managing Popularity Bias in Recommender Systems with Personalized Re-ranking.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Managing Popularity Bias in Recommender Systems with Personalized Re-ranking

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.030246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f950686a-1180-48fa-b00a-569b179a42e2 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.495483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f3ec19f-3b55-46cd-a1d0-87a1d822efc2 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.487530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 85913bbf-99c4-45ac-8808-40197f4e4981 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.039648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc8c405e-47e4-424a-a696-0a1a1e74f830 · outbound

This paper cites Language Models are Few-Shot Learners.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Language Models are Few-Shot Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.043414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6132c9fb-82d8-4255-975e-63c3ec3f7679 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.473170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a141e8e7-c47a-4d23-9b98-d0a6441664c1 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.464230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 481358dd-cb26-44ba-9532-65e64b60008e · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.454726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b31dd8d-7d16-40bb-ba1b-c9ceaf4170a5 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.445772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d918075b-06b9-436e-a580-777161fcc97c · outbound

This paper cites Gallegos, Ryan A.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Gallegos, Ryan A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:16:02.436593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ffc2868-f82d-482a-8ff3-93740f3d4d42 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.063135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67cd776b-033d-494a-bd64-86daccdd07df · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.066363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfc3a3c5-d4c2-48da-9d1c-2558d6adf604 · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.069209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6467fff-0475-4d5c-8ed9-213187a3e9ab · outbound

This paper cites Large Language Model Simulator for Cold-Start Recommendation.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Large Language Model Simulator for Cold-Start Recommendation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.072566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 181aa981-becb-499b-ab0b-af23455d589f · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.416452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6cc32cce-3856-4cd7-9c52-830cab7fb7b6 · outbound

This paper cites Scaling Sentence Embeddings with Large Language Models.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Scaling Sentence Embeddings with Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.078910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6adca898-f3d5-4007-a5cc-f94623f18fa1 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.406132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 77aa7411-0fa4-48ba-bf70-5825a389d3b7 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.085103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7821eaa7-628b-4909-8625-4da75aedcf98 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.391371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 103b02aa-d008-4a46-ab0b-19fc3fc44b7d · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.382536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae979e89-2409-455e-8771-0a1b153b0fdf · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.094578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3728317-76a2-40e0-a3d3-d499adc936c6 · outbound

This paper cites How Can Recommender Systems Benefit from Large Language Models: A Survey.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation How Can Recommender Systems Benefit from Large Language Models: A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.098194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92e09803-abda-40b1-9637-2a224c09518e · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.373771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0e8cbd6a-a996-4b84-b85b-ef470073250c · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.364672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2e172941-39e5-47e0-9f1c-826dd97f6a0c · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.356846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8447dbdf-30b2-46a5-9f15-556b97ad2b37 · outbound

This paper cites One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.110531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b42abb9-995f-4ad3-b622-4012e79f027e · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.348127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 582efaac-3897-4b7b-9366-4763f16d1420 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation LLaMA: Open and Efficient Foundation Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.116988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa7f94bc-3a08-4c12-b3a8-7c2cc018f331 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.338003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7f91bb8a-6630-49a8-ac5e-9f314c3ec06e · outbound

This paper cites Rossi, Namyong Park, Huiyuan Chen, Nesreen K.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Rossi, Namyong Park, Huiyuan Chen, Nesreen K

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:16:02.328918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0ede63c7-c7a7-41f4-bad1-e76aa4f78c88 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.319192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5dc5a27d-4252-4beb-a3ab-5b994d3936b5 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.309927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5edaacdb-1339-420d-93ca-7669ebaf7408 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.300271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1efe940e-8488-4728-8345-b001c62af24f · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.131633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78cd8a25-49f6-4eff-b2d5-1a286804d249 · outbound

This paper cites SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.134439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 677d286c-f4da-4807-b262-bb2c95c03cd8 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T04:16:02.138299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 370daf66-fc26-4e33-a93e-d78c4d7fc8e0 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.279718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b64fba43-b145-49f2-acb9-5f4834179b12 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.270444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06f00c26-b743-42d6-a271-c5694ea7e741 · outbound

This paper cites an unresolved cited work.

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:16:02.260864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.