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Paper Citation Record · LEDGER

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization

As of 19 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2608.12569.

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

pith.paper-citation-record.v1
2608.12569 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:10:59.996360Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b4fe3c4-4a0f-4c19-a285-f08165573d29 · outbound

This paper cites Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP) , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP) , pages=

Reference 1

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no resolver link, observed 2026-08-16T00:10:59.768651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.768651Z digest=sha256:139fe17d9eb83984d68925f8de8d229ec98a2ff2443f70aa19c86702c4cc7464

Observation 59ea4ae2-4762-4194-9102-edebfbbbea2b · outbound

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

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Reference 2

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no resolver link, observed 2026-08-16T00:10:59.775170Z

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source=arxiv_source observed=2026-08-16T00:10:59.775170Z digest=sha256:8b1cc8216529475a646d6e6704d0d237979589014deee8f6c27837ac824968d7

Observation 0bd68f05-8411-4753-9245-ca2eeea265f5 · outbound

This paper cites an unresolved cited work.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-16T00:10:59.780278Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.780278Z digest=sha256:febbea9fa9862ec91f14e0c3d2f27fdb319a4498dbf3f26c32bbda3879785d1a

Observation 8341e16e-92b9-48cb-bc14-ea7a160ad16e · outbound

This paper cites Passage Re-ranking with BERT.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Passage Re-ranking with BERT

Reference 4

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no resolver link, observed 2026-08-16T00:10:59.784643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.784643Z digest=sha256:d2a5a0c73c95065d7efa4f96f0c1a859dddd14e1cc2c83bea7417daf8b4a33a7

Observation 72f778ab-71e6-497e-ba38-346124691fe4 · outbound

This paper cites Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini

Reference 5

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source=arxiv_source observed=2026-08-16T00:10:59.788835Z digest=sha256:fd290fb5d9d5c47fe75eae7ece5e9b20e713d008bb936a7014c11ccf44211eca

Observation 56b927a8-43f8-49b8-a966-969341692c93 · outbound

This paper cites EmbeddingGemma: Powerful and Lightweight Text Representations.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization EmbeddingGemma: Powerful and Lightweight Text Representations

Reference 6

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no resolver link, observed 2026-08-16T00:10:59.793126Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.793126Z digest=sha256:ad6c86f89542bbc03e02a2c84ec4eb90938098f1e06f9614a2300653ec840e8b

Observation c4abdc58-d843-4d60-9b4f-a1f092770313 · outbound

This paper cites Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval , pages=

Reference 7

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source=arxiv_source observed=2026-08-16T00:10:59.797493Z digest=sha256:659284d8a4234656d1e94a14b6fc3b42563dfc498df8087fbe4ce68bd356d245

Observation b6988f93-8f8d-492a-b47f-ab9f4c9a9a5b · outbound

This paper cites RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.801703Z digest=sha256:6773d094b577c23847ec06beda7ed097055ae6a205829c99a6e465161070f21b

Observation e266161d-0771-4669-9f9e-b334bb316ffb · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2022 , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Findings of the Association for Computational Linguistics: ACL 2022 , pages=

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.744389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.806468Z digest=sha256:318bb4f0d9ade63909bbf80e3524d302dbbc7a5f6d8e7c9583fb6e891ff8e68d

Observation 3872c939-bd09-4378-b13a-9c2d229f4956 · outbound

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

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 10

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source=arxiv_source observed=2026-08-16T00:10:59.810591Z digest=sha256:77fe8a79074e844553ccd54dfa36b21c3714cbd19d668550267268ebb41a22c3

Observation 35fc911f-6d29-4693-b764-09e7ee6ce657 · outbound

This paper cites Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 11

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source=arxiv_source observed=2026-08-16T00:10:59.815179Z digest=sha256:4e59b458a9382ba1a28ae68b8d1305cbecb1cf6829463cc97a2e9857de02723d

Observation 7ff4ebbd-11df-4520-86db-27d753941ed2 · outbound

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

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Reference 12

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source=arxiv_source observed=2026-08-16T00:10:59.819263Z digest=sha256:5b03ed8203eb13df550976c09bf89d68886334c98d4aa757416283f2504d12f5

Observation e65e1a7c-9ba5-401d-a532-9b1c52ccf9c3 · outbound

This paper cites Gemini Embedding: Generalizable Embeddings from Gemini.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Gemini Embedding: Generalizable Embeddings from Gemini

Reference 13

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no resolver link, observed 2026-08-16T00:10:59.823364Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.823364Z digest=sha256:785fa0e35e499543bb99f9501a231e34ce260f7c4632f3900edb025986472e64

Observation 679a4e62-34f3-4528-933e-0303740dc102 · outbound

This paper cites Proceedings of the 30th ACM International Conference on Information & Knowledge Management , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the 30th ACM International Conference on Information & Knowledge Management , pages=

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.720020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.827660Z digest=sha256:a5a12493d68fd85860cc52972f4a67037e98547d96bebb76a91b59ffb7cf9195

Observation 7b5f5b87-fba1-4fa1-ad74-8614719dca47 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Findings of the Association for Computational Linguistics: ACL 2023 , pages=

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.706187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.831450Z digest=sha256:66d03fee70cbe7b82f098fd65f160eb527ee6b8fe8798cfaf63300eb8f51ec0d

Observation 745a608a-ae6f-47f3-bee3-b622da5db662 · outbound

This paper cites ReFIT: Relevance Feedback from a Reranker during Inference.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization ReFIT: Relevance Feedback from a Reranker during Inference

Reference 16

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source=arxiv_source observed=2026-08-16T00:10:59.837303Z digest=sha256:b46a3b47370efe3efe8aaa7db679ed16114d659e897356c6b210f4da88cff671

Observation 1a1111dd-d442-4a59-8209-b09623c12431 · outbound

This paper cites Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.694027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.843319Z digest=sha256:c6030efc50fac07c7b8b81cf87ebf6c7afa49820f012d32d42f88428b764571e

Observation 35448955-3291-4db4-af59-689f0cad7e8c · outbound

This paper cites Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Guided Query Refinement: Multimodal Hybrid Retrieval with Test-Time Optimization

Reference 18

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source=arxiv_source observed=2026-08-16T00:10:59.849331Z digest=sha256:95cf233547688ba8aab0f102628a929e4727c246d0ff6a9621871657538dbc6d

Observation 532f8864-1f3e-47e3-9c14-1bbc4bc1ba3d · outbound

This paper cites Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval , pages=

Reference 19

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raw_fallback, observed 2026-08-16T00:11:00.680284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.855191Z digest=sha256:1c81656e0103be0fdb0844f1901e9aa226a73ef451fb38a46368c75039d0252b

Observation e4078d9f-2f24-45aa-acb3-513d968efe98 · outbound

This paper cites Machine Intelligence Research , volume=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Machine Intelligence Research , volume=

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.666935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.861806Z digest=sha256:44eb2aabebb46edd74a4a33e69c93e4dd43afaa474c7884784593ab5e44f0115

Observation 5033030c-d821-46eb-abd0-d86a7eb0fe5e · outbound

This paper cites Artificial Intelligence and Statistics , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Artificial Intelligence and Statistics , pages=

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.649834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.866535Z digest=sha256:c936f7739f527a6e50237070893d04ea2bbec046500a5bdbb2c4f8fc3bd98ea0

Observation 87cd8d59-85b9-4230-b537-be0773ef2a59 · outbound

This paper cites Proceedings of the tenth ACM international conference on web search and data mining , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the tenth ACM international conference on web search and data mining , pages=

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.632884Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.871532Z digest=sha256:46b4feca5c9cfe2b0f072c353ade89d8a98fe7cd90c96272a4d34a56f7130056

Observation 72551742-e839-4ed4-b8d5-c6a9493ff2b6 · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 23

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source=arxiv_source observed=2026-08-16T00:10:59.876753Z digest=sha256:e775ec663e5b5f34c67fbf7635b2de85a395a349f153b0ec20865b8451101c64

Observation b2fdeb34-deaf-4fcd-923d-0aeb0a85b32d · outbound

This paper cites Training language models to follow instructions with human feedback.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Training language models to follow instructions with human feedback

Reference 24

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source=arxiv_source observed=2026-08-16T00:10:59.880636Z digest=sha256:1ae2c117f1295c607de39715d0c817a9735822af46063319980534ac5eeebc48

Observation f0ccfc33-aa16-41c0-b41a-404ea4e81b37 · outbound

This paper cites Advances in neural information processing systems , volume=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Advances in neural information processing systems , volume=

Reference 25

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no resolver link, observed 2026-08-16T00:10:59.885272Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.885272Z digest=sha256:9eec63a480e84a166301e44c52224fa01b391275902035f50d92bedf4da82966

Observation d977bf98-517f-4a68-912a-ddc979514cfb · outbound

This paper cites Proximal Policy Optimization Algorithms.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proximal Policy Optimization Algorithms

Reference 26

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no resolver link, observed 2026-08-16T00:10:59.889121Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.889121Z digest=sha256:aed907ad51b6b99440f6479522f34e16456905e355d7022ab4f4131877c71a03

Observation 947f4b2d-fa6e-4014-8bac-e7e60c898c83 · outbound

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

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 27

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no resolver link, observed 2026-08-16T00:10:59.893224Z

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source=arxiv_source observed=2026-08-16T00:10:59.893224Z digest=sha256:680cdbc77f297947536c5b2c4a24259eab6db5cd875ac1118c6e9fbd189ff818

Observation d3f10040-1e23-43a6-8caa-13cd82a1bf55 · outbound

This paper cites arXiv preprint arXiv:2511.13885 , year=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization arXiv preprint arXiv:2511.13885 , year=

Reference 28

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no resolver link, observed 2026-08-16T00:10:59.897955Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.897955Z digest=sha256:ea960ae1b41d269abc0839c77ff090d6e603eff6b920c42205c6fb949f522b30

Observation 7fd0ef6d-ea4a-416c-905f-21d18773a25a · outbound

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

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 29

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no resolver link, observed 2026-08-16T00:10:59.902057Z

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source=arxiv_source observed=2026-08-16T00:10:59.902057Z digest=sha256:0474d0b71b21994797fd72459634560ef7e05ffdf94734dd5b86550bbe050cf3

Observation 480c1a1d-e094-42ce-91c8-1a5c7ccc18a7 · outbound

This paper cites International conference on machine learning , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization International conference on machine learning , pages=

Reference 30

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unresolved
no resolver link, observed 2026-08-16T00:10:59.906147Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.906147Z digest=sha256:47c103f55b767bf0977e74e922ae7ca1610de0d9dc011f3a96e82f649a8db1c8

Observation 3ac2e0b0-93e9-44f8-96f7-2625218af846 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Advances in Neural Information Processing Systems , volume=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.593651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.910358Z digest=sha256:264e1161f9754ec3f3884c6b8dc27dcd657f043fc9b3d094bba0e1bd714ee08b

Observation 74877b15-8436-403b-bf59-03e3266a6155 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 32

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no resolver link, observed 2026-08-16T00:10:59.914435Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.914435Z digest=sha256:2c168d10efe494d01e7a6fe1384e7476b179fc3acccd59cb144b032c0251238a

Observation 9a071589-53a8-454d-bd7f-f4b409ad7221 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Distilling the Knowledge in a Neural Network

Reference 33

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no resolver link, observed 2026-08-16T00:10:59.919822Z

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source=arxiv_source observed=2026-08-16T00:10:59.919822Z digest=sha256:c957ff6a20a032895ff2ea68ac00d733c2caf0ea25e698848bea601b4925d24d

Observation 1e52b9bc-0f0b-475a-934b-961aec425de2 · outbound

This paper cites Journal of the Royal Statistical Society Series C: Applied Statistics , volume=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Journal of the Royal Statistical Society Series C: Applied Statistics , volume=

Reference 34

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no resolver link, observed 2026-08-16T00:10:59.924910Z

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source=arxiv_source observed=2026-08-16T00:10:59.924910Z digest=sha256:df67d70324a17a0af455c6bad78aa1eac217e243b958935d9c07ad20308e54a4

Observation e2d72730-5196-4870-9cec-8e2b3e65fec1 · outbound

This paper cites 2012 , publisher=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization 2012 , publisher=

Reference 35

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no resolver link, observed 2026-08-16T00:10:59.928965Z

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source=arxiv_source observed=2026-08-16T00:10:59.928965Z digest=sha256:83db1afd0ed2661edf5292eacb1881bb71507aa5dcc38273c9164bb776531454

Observation f1322203-cd78-4182-b6c3-b4d30b861e56 · outbound

This paper cites Proceedings of the 24th international conference on Machine learning , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the 24th international conference on Machine learning , pages=

Reference 36

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no resolver link, observed 2026-08-16T00:10:59.933123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.933123Z digest=sha256:8cf914c894b187ad61a4d076384694a09444d98916be3835b73de97dc4b35093

Observation 67f81af3-8766-447e-9b92-dc33ba9997d4 · outbound

This paper cites Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T00:10:59.937575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.937575Z digest=sha256:53b05808b0bb217ff30a28d7ee2c67505b67b38a2c8c15c4c81f6066d5fe55f2

Observation 60c23a1e-d3f9-4627-bddb-d51208d6f076 · outbound

This paper cites NeurIPS 2023 Foundation Models for Decision Making Workshop , year=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization NeurIPS 2023 Foundation Models for Decision Making Workshop , year=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.539388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.941599Z digest=sha256:453dcb0fb8752ea83955b6af861f8bb7846ef57fe6ddeefff146e4dd625ad2a1

Observation 78013691-bc6b-469a-9d2e-3bd91ce5470a · outbound

This paper cites Advances in neural information processing systems , volume=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Advances in neural information processing systems , volume=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.524467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.945872Z digest=sha256:3cc7002419f7f00b8182712fec38c8a25d3c354345d77d80d0d1e2429411df2f

Observation caae6d2b-81d8-4ec2-9b60-fd55ae3c03e5 · outbound

This paper cites 2004 , publisher=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization 2004 , publisher=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.510115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.950376Z digest=sha256:77f092378ccfe71d8d85656996240e9f7f85fb4c7bad2807dcd237829eae8b9f

Observation 8f79e998-03d6-41d0-84e5-7fd168bb050a · outbound

This paper cites International conference on machine learning , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization International conference on machine learning , pages=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T00:10:59.955527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.955527Z digest=sha256:15e09117f707256f520cd7c576fc0bec9c1fad7b5471745082aa6ff23e1f7be4

Observation 1e6e1921-780f-4afe-8748-8a40710a0b58 · outbound

This paper cites Proceedings of the 2017 conference on empirical methods in natural language processing , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the 2017 conference on empirical methods in natural language processing , pages=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.482152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.960853Z digest=sha256:2c8f493abcd64f6ff8a577fa64e56179674307edf2da79243fa5f58292da395d

Observation ff474d86-406d-4892-8faf-fd6175ba6d7a · outbound

This paper cites Ask the Right Questions: Active Question Reformulation with Reinforcement Learning.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Ask the Right Questions: Active Question Reformulation with Reinforcement Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T00:10:59.966000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.966000Z digest=sha256:fd9bdd689546f3853373f8c531485e55f5a129d080af0c05ce17927849de77e9

Observation 3136c5ff-c0a1-419c-ba09-f51cdb865d70 · outbound

This paper cites Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining , pages=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining , pages=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.466007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.970540Z digest=sha256:8232beb54e50df1b6ecf1e0d5702883a4a4580076fd85d619ee421bb166d7206

Observation 99b1ff93-5215-4751-8970-542bdea69f52 · outbound

This paper cites SIAM review , volume=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization SIAM review , volume=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T00:10:59.974552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.974552Z digest=sha256:0d15e1d9020204c8b8241f40445ae76c94415683506df2ccefa77deb267f3220

Observation d1c38763-cd90-4679-9a45-1967efb7f2f9 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Adam: A Method for Stochastic Optimization

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T00:10:59.978849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.978849Z digest=sha256:13ffe69ac30fe0890d68cc77a05b845bc234180708bd28152944ed1f212c1756

Observation 79d4293e-b5e2-4960-82f6-432041fdbefa · outbound

This paper cites Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T00:10:59.983824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.983824Z digest=sha256:43c81d5821bc3bf5916d833448945085cadfde47adcdada18be2f2adfef9a35b

Observation 56b0b6c4-2179-448a-9fab-651f91948537 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization MTEB: Massive Text Embedding Benchmark

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T00:10:59.988164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.988164Z digest=sha256:7050639d192fa77afc64a37c221c83d4d256598a4cf43f64b19065fdda489d45

Observation 0833a5b0-da25-47e4-bca7-3cd9bdbd26cd · outbound

This paper cites Forty-third International Conference on Machine Learning , year=.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization Forty-third International Conference on Machine Learning , year=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:11:00.439785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.992426Z digest=sha256:0a7f193fe5f4662a83eaafe3fdbcdbb9f339c722cf5f0422f3e227bbe0a0754d

Observation 467693a7-c02d-44ae-90ef-0495177027b1 · outbound

This paper cites SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents.

Test-Time Optimization of Query Embeddings with Ranking Aware Reward Maximization SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T00:10:59.996360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.996360Z digest=sha256:42a749908620018cfc5ac9c6e40bcce67ccd81b35e3882eb2bc5918ca277024b

Pith citing papers

No inbound Pith citation observations are available.