Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-07T13:02:10.503262Z
Paper Citation Record · LEDGER
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
As of 4 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2604.26231.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
- verified exact5
- verified fuzzy3
- unresolved50
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5b555664-eb76-4640-911c-f4b90eaf61fa · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.925789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2454f352-a3e3-4756-b392-4431e784ea0d · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.040511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3c475e31-5546-4149-9a55-988ffa9fbb1e · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.954794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5a63c440-184a-4c3d-ac3b-8521c24c298d · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.968607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2d906335-f6ce-4b05-bff6-3b77a5f6ad01 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.965563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7a09a5cb-ceed-4a57-a644-926b3de037df · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.084864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0d5b34c3-14cc-40fe-94a6-18c253f67667 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.932467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5729ef06-373c-4c63-b242-95bf5484e073 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.014363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4fd46682-d77c-4715-86d9-90c3261d4fe0 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.991056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2ae8024e-17e1-4437-99ac-a8244a7049b5 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.044166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e5b0b2f6-ef7a-4b4e-92a8-8acf851b2d32 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.029885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 17193cb7-3d3e-4625-aede-222fec972d6a · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.007851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e180329e-ea4c-415e-9fd6-dcca7aab2c1c · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.001301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b2063790-7596-4747-add2-b5de1550bb4f · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.047695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 129d25ab-00f9-4b6f-843a-a46824c0bc11 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.103840Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e4a1f2a8-ac21-4416-abd4-e6f1aa5f0b8c · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.066607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 271076ad-d85e-4d9c-a14f-013006540d53 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Adam: A Method for Stochastic Optimization
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T09:06:25.344436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cc041a7f-2432-4e51-b1be-b3289026c142 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.058345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5127603e-d772-4d60-90ad-18257377064a · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.972280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 28f5ae79-8794-4cb7-be8f-6347561c4a5b · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.070051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cbab9592-4df2-4fcb-b789-f43a9156217c · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.978485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2744962a-0329-4767-b44b-d2a5d6a108ec · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.051518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a2715a2c-ec57-41a9-9637-4536f4e2d8cd · outbound
This paper cites InProceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI).
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems InProceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI)
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T06:08:53.035882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 83f897e1-0cfc-494e-9dc4-ceedd3be1b6e · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.054941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 35998a5a-8cc2-48f0-b2d8-98a0eb175347 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.984965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8d3dec68-78a9-4e68-b072-8a7eabd1a8bb · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.004684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9dbb010f-828d-4f60-b8d6-f357d5e003f2 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.960510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0f3f6ce7-2292-4261-997b-800aa350b5df · outbound
This paper cites $\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems $\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:06:25.348962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ca5f1cb6-8dad-455f-a2b1-7a8d808ea4f6 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 29
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.957659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1fd0c6a1-3ea7-4435-8e61-f7044361a1a7 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.938937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7df3f848-a12f-4c91-b959-2aa0f84df0a7 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.928910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5b9aaa2f-f6b1-4170-bcac-d0611527bc66 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.987983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4d4bf231-ed67-4fb6-aaad-d6ca78db2cbe · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.946574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bebdf37f-61ef-421b-a613-d6607f694977 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:06:25.353337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 250b4fd9-62df-4fc7-b4c2-a4fde1e10810 · outbound
This paper cites Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T09:06:25.358212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6d6f2eb4-65bf-4302-8b10-706fda2d3f64 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.935724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3960fa57-2042-4c7c-ad69-9bb190b98f6a · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.026913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b513f5b6-c796-4682-afd4-0e3509fec7fc · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.951592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b3eeeb3-544c-4cde-854e-e5c4459edb0b · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.943159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ee9fcd13-f86e-41b9-b706-54eef2ad0b14 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.963089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f41db06a-0b3d-43cf-b7a1-bf955adbc9e9 · outbound
This paper cites InProceedings of the ACM Web Conference 2026.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems InProceedings of the ACM Web Conference 2026
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T06:08:52.981613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 80e5c85f-88a5-4ced-a5fa-18e2dc0101ab · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.088136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 01c46e38-b8cb-45ad-8076-0ed1ac4aa6ba · outbound
This paper cites InProceedings of the 23rd ACM international conference on Multimedia.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems InProceedings of the 23rd ACM international conference on Multimedia
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T06:08:53.091537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9165f626-8344-4c10-ab5e-fd6bbcb67352 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.094848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8bd9c1b6-6f40-46af-94bf-863ee5d7b9ec · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.073343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1f8e43ae-c43f-433f-897b-782f2301e7a7 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.081592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7fd1ed89-26ed-4d01-bb27-550ff4509d1f · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.097887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ae67cc9e-5a82-470c-b768-8a88518be121 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.062842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f350bd41-51af-40fa-b961-a7dd92b5edf7 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.100913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 257e256b-205d-468b-9c3c-0ef82e9e5343 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.024091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fbf1ab52-4dfd-4553-a4d2-ebb31e7a1603 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.017662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 31d5518e-a116-4c92-bb79-86400dcda56c · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.011127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2062979a-53bc-4508-b97a-dd34dc9e4bb2 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.997924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fcfa99a7-7396-4b3a-a286-6dec9f1d02b7 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.021179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 16c235b1-7e2e-4146-812c-b29f4a27a8a6 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.032813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1e63382c-25de-491f-8518-94ee7cac387d · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:52.975286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4cbb2aca-dee1-43d0-933d-4a2cb0aa3eb4 · outbound
This paper cites A Survey of Large Language Models.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems A Survey of Large Language Models
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T09:06:25.363145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ce15aa30-a78c-46c4-91c9-8844174c6be0 · outbound
This paper cites an unresolved cited work.
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-05-27T06:08:53.078389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.