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Paper Citation Record · LEDGER

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation

As of 4 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2606.03866.

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

pith.paper-citation-record.v1
2606.03866 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:58:38.064953Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:00:13.323953Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

  • verified exact14
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e01dc52-5c1b-4890-83d4-68839959b1ad · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 1

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unresolved
no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:748b87c4c009c57875ec18d898c5127b1d1b487e72088cd206d71506d7227f66

Observation 18a90af6-6e7c-44f8-a7af-d13482dc5b00 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 2

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verified exact
arxiv_id, observed 2026-06-28T08:01:46.772030Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:17acb8983e2d60a63d96084b806a8d363e0f509d2127315dec72252ad6213060

Observation 6158f9e4-7bc9-46a2-b7a2-146aa9784064 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 3

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:a8fa10f50047c612f771436b6b600aa556b750dd1a79178129f031c38f91ee15

Observation 9c533ff6-4436-44a5-aee6-ea16930db402 · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 4

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verified exact
local_arxiv, observed 2026-07-02T05:56:40.370779Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:b6f9f4177b954043ace684fe00d34088f2d8625f012247a4a916dc4589a04630

Observation 4b5f48fe-bea5-40ef-9d3b-95b253816646 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 5

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:eb69b9a92a81c84dcefc457b1f2a8c107b4b52f7cf8a291e2171e1a6183b6c4f

Observation be9a6180-86b0-432a-8964-c366a6887145 · outbound

This paper cites ISBN 9798400715921.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation ISBN 9798400715921

Reference 6

Resolution
verified exact
doi, observed 2026-06-28T08:01:46.774090Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:c89773d91bf4fbb300a0fd5f8184b02712b46f4c43445031a9d9b32afd77200d

Observation dba59942-01f5-46c5-9302-3b1b1e234989 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 7

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unresolved
no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:9bff4bf0323b79859a310c34ddbea7b5954278a65d29f5df4e2bddeeb02de4ed

Observation ca8ddfde-56b1-4240-8b5b-6506c337d4ac · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 8

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unresolved
no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:93e08601dfad000f14737777ee698398c54ce203b58ad6b06ad02bcf7a2928e9

Observation 0fa67d62-2a9d-41cf-8a20-c76ef02f8675 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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verified exact
local_arxiv, observed 2026-07-02T05:56:40.386938Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:5efcd4d8c62542247769758300d7e28270ed8e3227aa1608b5e8799040a8cb71

Observation 4fc19d44-3624-48a1-bf47-e425a72bb19d · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 10

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:1ab17b676748f14b3eede1a38894c7c5869d803e54b55b3ed9a3c5f18df2fa7f

Observation 1aa02751-7c9f-4a37-94b2-659c6a01eaa7 · outbound

This paper cites InProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation InProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 11

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unresolved
no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:9e9944bc0c75c13b4921c1b8ca2b558874cb32e1c002f244a3040a684078e4dc

Observation d286dba4-3721-48c7-9374-9f609ed45d1e · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:56:40.395767Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:751ee4465cf69952babeea0cfc1a079f981f0882d8633c127e201d5651543e7d

Observation 006a6867-4893-4de6-9573-e3938d83c93c · outbound

This paper cites RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-02T05:56:40.380511Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:9ae7e807dee136cdf1999dd2142238f26c39ce376af558b38ddc31d167afceed

Observation de14b502-1571-4f86-a2a7-04c06894adab · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 14

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:e010a7b41cd337e641e6b846d773e56bb26b513bb7cdca317ff1dbc72ffb4110

Observation 032f745d-296e-407d-b024-7372e19f7704 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 15

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unresolved
no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:37ae5e85e2f3d50cdf53b4e2f6d50ec72ef568c89483323fc9ba22b3bffe75f2

Observation 682e9cb3-e84b-41fb-9858-993f0a0aaeaa · outbound

This paper cites Learning to optimize multi-objective alignment through dynamic reward weighting.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Learning to optimize multi-objective alignment through dynamic reward weighting

Reference 16

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verified exact
arxiv_id, observed 2026-07-02T05:56:40.374136Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:6df7744718c5894f69b662cb7373872787798096cac988ca532a1c3af4e4b278

Observation 31e594c9-20eb-41b2-aa58-647e9a14fcbb · outbound

This paper cites URL https: //doi.org/10.1145/3746252.3761506.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation URL https: //doi.org/10.1145/3746252.3761506

Reference 17

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arxiv_id, observed 2026-06-28T08:01:46.777138Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:14affcd204fcb8a16c08b04fdc50e2054effaa9e68f475978b40a7f687876eb5

Observation 99faedbe-ecbc-45af-89b0-892138208595 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 18

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:73cac67609693dad35464bdd6cd25909b418202b9334f68321ceb0398c6b65f5

Observation e1db5975-1f2c-4095-9771-c1050c0b25f3 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 19

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:c4559eeaa399d110b7c1ea098b1edc5b1628e034ec214a591b24b89a5570b786

Observation 3e9cc836-d38a-4480-acf5-fd85b9b16dbd · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-02T05:56:40.392777Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:a0aae7e8e908384b8ed24bbbdcdea9e51d1e4aa519bccf4991abdb8fccf8fb8d

Observation 8a780f20-827a-40d7-a7b3-3a83e334d7e0 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 21

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:cead6086fc5e39c6f2c035f33701673d291d1c6d55c892c3bf249917862eeb59

Observation d46944cb-0a13-41d4-b082-fdbafb63a6b9 · outbound

This paper cites Reverse-Engineered Reasoning for Open-Ended Generation.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Reverse-Engineered Reasoning for Open-Ended Generation

Reference 22

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arxiv_id, observed 2026-07-02T05:56:40.399051Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:2e34fa2a65a11d5559d4c7ef00d0ce8d280a9cbbac8335bbdf5cfee2dffe479f

Observation 9ad7f140-5c92-4a7e-a040-4bc1d41b25fa · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 23

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:34289deaaa32897ddfc0b92056d3d676e260da125da620d7ec105ec35aebf802

Observation c6fcb936-8f47-4f33-b0f2-7884be9861f3 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 24

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:46195a3fddc37aa5bb02abfe068e6f39547d3cc083341eda0d8a8d1b419aac27

Observation 586b0d91-beba-46cd-8199-7b0f0f5a68cf · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 25

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unresolved
no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:a05f7b81bc6e66901d9724d4df08f225589a5a5410ddf7cfcea54dc67e463b0b

Observation 5bb68522-5428-4601-956a-42c9a5000fff · outbound

This paper cites RecGPT-V2 technical report.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation RecGPT-V2 technical report

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:56:40.402230Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:1908ca611013f2ceccf55851d8b40087e3fc80cef0dd8088a67849be6c8b899c

Observation 96183e0f-6557-45c1-ab3f-f1aa2fea0834 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 27

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:4a82a4203a9967daac306ab76915539bf98bb68c5e3264b97fe5adf243cff229

Observation 9c7e5bca-404b-4808-a0ce-5057d16d7e83 · outbound

This paper cites Gpr: Towards a generative pre-trained one-model paradigm for large-scale advertising recommendation.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Gpr: Towards a generative pre-trained one-model paradigm for large-scale advertising recommendation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:56:40.377536Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:9cecb92ea6bd816661ee3fa8f7b4c1c2e0c2d2be8343fcf14f6bd6986919149c

Observation 22630189-63cd-4ad3-9fdc-bce0bbfca0a9 · outbound

This paper cites Onemall: One model, more scenarios–end-to-end generative recommender family at kuaishou e-commerce.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Onemall: One model, more scenarios–end-to-end generative recommender family at kuaishou e-commerce

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:56:40.383971Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:aab67e13af2f30509cc022d63c07b8243cb8e3efd716b4da52c5f63f5873f16f

Observation cee79ce2-ab33-4a9b-badb-640cd6816c71 · outbound

This paper cites Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-02T05:56:40.389970Z

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.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:7e121ecac8f93bbb87e5fd192a10ce737338ae250f1953e76950638627c43019

Observation aa9f0928-7af0-492a-9309-f672b014be48 · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 31

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:671a39e48239bd296b03cc2d8000817e2c68490d4c79ccde5f99146e8d6ddc12

Observation 39ccbed8-9651-41f3-b80a-52bceb86311b · outbound

This paper cites an unresolved cited work.

Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation Unresolved cited work

Reference 32

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no resolver link, observed 2026-06-28T07:58:38.064953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T07:58:38.064953Z digest=sha256:76a5fa8aabff29ef980e40659928c26db2869057263e85f324a2d8536265bae4

Pith citing papers

Observation 32e29b5e-9b5c-496f-8b91-e047636b1c45 · inbound

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems cites this paper.

RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation

Reference 70

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unresolved
no resolver link, observed 2026-08-03T11:00:13.323953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T11:00:13.323953Z digest=sha256:ba5dbdc299b20366d8f0657fd7e54dda857500b9a4a68df9f4186436615ebfbf