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Paper Citation Record · LEDGER

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 3 inbound Pith citation observations for arXiv:2601.09496.

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

pith.paper-citation-record.v1
2601.09496 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:41:41.250138Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:33:47.374689Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:57:46.414729Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9df1c7a9-ee57-4ab2-bc6b-c5bc25a25f3e · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:38.266802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:38.266802Z digest=sha256:cd04f4d0d1199169672b9a5688d16c306401706b2e0ff7ef6916c7d52a014bc8

Observation 18af5f8c-cee2-4ad5-bd9a-05fc743e3662 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:38.370045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:38.370045Z digest=sha256:ee8262dbc03a87fc1db40ee959ea0faaa98ba411c12f734a5a61a500c566faef

Observation f02503d8-a47c-482d-807d-03113e3da60b · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:38.450512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:38.450512Z digest=sha256:75f8c415cf35d30e0ffbe888530df4404c7b5a9a5935d16681229379de016cdc

Observation 777dce2d-1692-4d15-a30d-f421f1b9cb28 · outbound

This paper cites LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:38.568444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:38.568444Z digest=sha256:a8f1e8ca2e92fec9213b585f1f2c8933adb904e043765d8bc13858b4506ec692

Observation 58e705e8-8057-4bf4-9957-7c9dcc7d57a5 · outbound

This paper cites Adapting Auxiliary Losses Using Gradient Similarity.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Adapting Auxiliary Losses Using Gradient Similarity

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:38.684880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:38.684880Z digest=sha256:bd12c4772c8ec29e054edc108941998d7911b183521936bf2ec7ceb709fa9032

Observation 7341a3a5-871b-4248-a3d1-c9092051c0ec · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:38.760473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:38.760473Z digest=sha256:62af1f3b894ac6cadbd09d8207a4f17874e0c2e536d6a40faa522fd7bfdd54a7

Observation 5a39d761-53e0-4733-8779-9694a7bc025a · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:38.801703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:38.801703Z digest=sha256:71b486e9d9fd30b51f0bded4603fcb0d5062f1c5285d792f195bbf4cf957e544

Observation 1bc327f8-19a1-4f86-ad88-7d452a85b17e · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:38.881694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:38.881694Z digest=sha256:a9b80912868176d5e3c4175e5dac2e29ab8f04403b043785241c8306bc2930a2

Observation 42bbc707-e320-4c27-8d71-cd0f7d07978e · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:38.967730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:38.967730Z digest=sha256:a4deec42b874fe07de4953a3a215d247d59177bf2093e64a827f0465b9112d26

Observation a69c373e-d552-4884-8951-cdfc3648c868 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.069628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.069628Z digest=sha256:d39742af6fc0bb0bf3c79bce74b2b03deb25b64569f75101ec94b4351ed694d4

Observation d4a5e6e5-d50f-42c9-802f-3cd4b6d6883a · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.283462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.283462Z digest=sha256:c7acbf2b42581868f79fc93445178f6442712c7005f23b266e5467cd844cb91e

Observation ffd3a120-4c7b-4171-a626-c186ab276695 · outbound

This paper cites Kingma and Jimmy Ba.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Kingma and Jimmy Ba

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.424822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.424822Z digest=sha256:0afe60409d640ff61da493e640935f260f7af8e17a47b470ef00c5ddcbe771b5

Observation 5194773a-b32e-4b5c-abc1-968a5a77ecc5 · outbound

This paper cites GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.494691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.494691Z digest=sha256:7b8f1cebf07f12a01d0755ae4692535d009b16e8404299525e5f3295a907eb59

Observation 441c6d84-e442-4f38-9454-b1752ab53797 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.539787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.539787Z digest=sha256:1f8e7099f5821862a06604135c7a93c9d0a34ae9fa6eae2703c215209fff54a9

Observation 4904f123-b205-4639-9f46-f61034b7820e · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.571687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.571687Z digest=sha256:d4e34b9350839f05f1659540d6c36c7f2d1daf112e2154a8e98d1af37b8b5ce7

Observation 3acf72da-bf17-481e-af56-388589d987c0 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.654902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.654902Z digest=sha256:ef9cc22825a3edf138ea3b8dce88ab8e40e3ebb1ffd8de00db214f8b0edc9d6f

Observation 23fd5cb1-e454-4290-9de4-e19594b58f8a · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.761000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.761000Z digest=sha256:7023276d6e313316f0f37a0f2f905d2821b68ab8f68eb6e22f95355e6b32751f

Observation 82a432c1-524d-46ba-8555-2773e1902013 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.838698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.838698Z digest=sha256:188cbe747f210a2306ca023db451913dc11dcfd2c6c0eaa441adcd7d2a0f0a42

Observation 3274995a-58cf-4be3-9886-ea513054f56c · outbound

This paper cites Tran, Jonah Samost, Maciej Kula, Ed H.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Tran, Jonah Samost, Maciej Kula, Ed H

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.903029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.903029Z digest=sha256:e1ec9e1296ebd63318402e5f7830b6e0d3b1a50a62ccdeea89ac65efd46a293f

Observation 18c8269c-f6d9-4bec-a9ce-aec93948e01d · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.994361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.994361Z digest=sha256:d431d90c2694b95b14c629aad0c4704d9972f507f4537f29fcf15caa87e70a5b

Observation 7b751fb2-b37a-4e98-9886-66724ccb704b · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.131800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.131800Z digest=sha256:0be1797fad5f12544e6e9f4b57404d8fcaa8b9e536aa87064b2a66a8705dcf20

Observation ef883ea5-adc7-4ffd-9f28-66dc5ea423fe · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.176398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.176398Z digest=sha256:0c01020879a1d67f315972fd434626bed189c5cd8ba700c1c674f79631b79326

Observation c193b721-ab60-4ebc-80ec-64ebd95c4373 · outbound

This paper cites Unified Generative Search and Recommendation.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unified Generative Search and Recommendation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.265671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.265671Z digest=sha256:5765b65a1e24788ea3ced4c94dcc1c0c1af9468e3665214ecb7cb5ddcdadc2b8

Observation 211277bc-e528-41cb-8207-a658a51776a0 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.388602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.388602Z digest=sha256:cf137d4806ec68f3bb01c5b75dc4990496ec5f1f909c45504f9a4046a11a924c

Observation 7234eb42-94a6-492a-9a74-3b15b5b3faa3 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.440680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.440680Z digest=sha256:9cf4c9e69a9c73ac11bb330ed818f1f57b532ccb7d8ec31a40959f144466523f

Observation 06f81133-7908-45fe-8c73-d0d06e8e8dbb · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.530663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.530663Z digest=sha256:c539cffda06b04bf13c56517001be2e67cd18dba2dc6dc018ec4d79991844de5

Observation 73402329-5429-4d31-8f7f-880cf32fc9ed · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.614909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.614909Z digest=sha256:ff40aab4202402a85c9f487e310215776dd07d1265f2bb5dbe843801a28d13f4

Observation 1203326c-e021-4324-ab1d-c4e63c9caaa1 · outbound

This paper cites Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.646812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.646812Z digest=sha256:edf0beef77bb3c5ea63456c50905e934d5ed8405d16be508ff71fd0e6da75f43

Observation 381b0350-59a6-4cdf-82c7-21430addfad8 · outbound

This paper cites Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.698904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.698904Z digest=sha256:a3696d28e54b17706ecc17873f3036158eab83feb468a648ee04903f6e2c41a6

Observation 50a6e569-b693-4fa7-9a37-f1fabce73943 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.754951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.754951Z digest=sha256:25f34731b5e7bfcc058bc08890cb3551e01e93c014dad8cb524a3943c23e41a3

Observation 326a29da-8da2-4458-9151-a2ec75780af1 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.827243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.827243Z digest=sha256:7bbf861ca6441f6601cea7bba15ca654170962adaf300e399e2e6a6d4b9052a5

Observation d13f6e75-ed90-4ff9-afe3-ee3d02f7c797 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.846495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.846495Z digest=sha256:67954899d40101c971235d6d956aff0b51e290eb6f4603749f7777af13123951

Observation 62686020-8d5f-4c2c-b1c4-63bbb1aa6e3a · outbound

This paper cites Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.880945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.880945Z digest=sha256:f93386215935cef2a40e216505c2d337fbe5d002b3fbe7c53a77b971a067d8f3

Observation 06e2deaa-4e68-4090-9357-2c36043043c8 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.918577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.918577Z digest=sha256:11cd9c809e27745cbfa7dbee47aaa0887f76f5da2c13c25273a1fa31c86fdc33

Observation 020c85f3-160c-42a5-a9f6-085d98ebf9d5 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.952537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.952537Z digest=sha256:b31c9acfb722ea945824baa473bd39d32a82559ff0d07582a5237e6d36917127

Observation f2039e99-7a42-42ce-ab77-bd06f7be55d3 · outbound

This paper cites Bruce Croft.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Bruce Croft

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.981994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.981994Z digest=sha256:bd3c3c7c72418157a57d44378a0ee0c5f2cd10351cc6006012018768d97835c4

Observation eccd3fa7-d6e5-423d-8b9d-7e75434509c8 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:41.033274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:41.033274Z digest=sha256:b6a727d7773af2237491c163ed104f21d34176618ee131bdc0b7d358493ad6f9

Observation 1ab9728b-9c1b-4654-93b0-3b51e1dfe11d · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:41.065945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:41.065945Z digest=sha256:d433d2a563424301a32361bf17a9485e7bf96779799f439a2f7d6f360c8f62f9

Observation 6d91148b-96d5-442f-826b-b63a432abb2f · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:41.098310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:41.098310Z digest=sha256:8c92bcd8462ea9de48ec6099cca1e423b2c66915dfc132ffab7a5f77e7746bc8

Observation 2ac4e4a8-adfd-4c54-bee2-bc638bf2373a · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:41.155661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:41.155661Z digest=sha256:05fe54c0dc9bc4295aa59e7e59e4c56d0dd62b99e07f29f1957cf633d7b216a9

Observation 1579610e-b86e-4192-bca5-978daaa84f3c · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:41.211162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:41.211162Z digest=sha256:6662bc42fe709e1eea705fb4c3206f194ba7acbd0cef2ed8e69b5ed2fd86cea5

Observation 1784cd91-c1d7-4a5d-8947-933e395efa2b · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:41.241157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:41.241157Z digest=sha256:31af587aa4f8e0473c2db09b8a411735b7d0b7e70990587c734dee50ba1be4e0

Observation 848c35f6-9225-43bf-9379-d6b4415a952c · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:41.250138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:41.250138Z digest=sha256:61b8dfa18dfb5536c0bba081c55921e87e47e406a52c0bff46808a0d20ce9ec4

Observation baff2cd9-f2f2-4b16-b700-1cee72ac5f15 · outbound

This paper cites an unresolved cited work.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning Unresolved cited work

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:40.036998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:40.036998Z digest=sha256:4b0a59a58f0460e3c2f7b353b65b5b9656ac69bc6153f6a53ef03264fddaf2c4

Observation 0bfbc67f-6cec-4ef2-8b9a-6585f31e759e · outbound

This paper cites InProceedings of the Annual Meeting of the Cognitive Science Society, Vol.

Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning InProceedings of the Annual Meeting of the Cognitive Science Society, Vol

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T10:41:39.381041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:41:39.381041Z digest=sha256:c52d5112bfb7a643d5e2bca55ac5f3d5462ed4c9c12d5cba8db04b0b9d3624f5

Pith citing papers

Observation 1ae0f448-f8c6-442e-98fe-b48fb0e3cce0 · inbound

Differentiable Semantic ID for Generative Recommendation cites this paper.

Differentiable Semantic ID for Generative Recommendation Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-06-24T02:14:47.787026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T10:54:59.933205Z digest=sha256:3992ed5060da67d031fc26f9503307fc78dd4e2e01c43b0b0853492aeac64b16

Observation 90301cb8-86bc-4734-bd43-1473080e00bc · inbound

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale cites this paper.

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-13T02:17:16.415801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T02:17:16.415801Z digest=sha256:1e1571f0c44a84358023c34ec89cc5f3292150eae5dfc0c6aaa0851336e31efc

Observation 6cafb1b5-ae6a-447b-aa3c-8a63c83b4010 · inbound

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale cites this paper.

From Raw IDs to Semantic Planning: How Recommender Systems Utilize Information at Scale Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T07:33:47.374689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:33:47.374689Z digest=sha256:bd96fb3c9f64fcabbffe664c69f23e228921fae39c4dbf3ca22b1c296bebed82