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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.768651Z digest=sha256:7be20bcb1f9bac4d073837554977c0b32758b81365a30567271a30e4e5c6afa7

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=sha256:4146eec50af27243bc214a1acf02622fa1f690dc2b606214b342b47fd44ad043

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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source=arxiv_source observed=2026-08-16T00:10:59.780278Z digest=sha256:8b5bce9264223b5a519bdb589b151709bb99acfd899dc73f31d993cc63d4b8dc

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.784643Z digest=sha256:85eb619b9fb0a445dd8a0cc64942151cce0f9847703371e956247890bbe7f7bc

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=sha256:50275f689fb809c8ab494a2e9eaf2770d469883d1f5837b4398284bb85198e06

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=sha256:6ae8830114aaeaf34403f76d7ae58c97e35f537e7cb560fde9d7222b78bd6017

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=sha256:7eb992e03950832b39336b0dd16362219ce32071865f6687d86077161c8a2dca

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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source=arxiv_source observed=2026-08-16T00:10:59.801703Z digest=sha256:b1a07249f2e300b552d541d6134a8b2d3ea430ae2195b34d676dfd856a049072

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.806468Z digest=sha256:d682c1f9b54921ad8a497d671ccd51612c404b6559c6ebe3a1e81bf560fd71cd

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=sha256:89276bb4fe391e8cd6c3181790f222f6cc29eb3530430588fd0b0525fa69d806

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:a193803b19af77f50d72d0f1528de815c59a820cbdc34a6f2a9a32c0836d50a0

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=sha256:431914f86a8a3abfdcc623b4197c3137e340334ed3f06ec5f9fa3a4552dd0ce2

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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source=arxiv_source observed=2026-08-16T00:10:59.823364Z digest=sha256:1bba6b1f617ea0fb3ec222d090df65f0f4d5242f8f88366b9c9a3ca0848730b5

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.827660Z digest=sha256:4e8f387a273fd27c5cfdaad118f63dfe3df137aefc97e7899f75b402e32e6880

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.831450Z digest=sha256:6b08c80207ecbf9baa511b33c7764837d1fce424d943536a351c949082f0577d

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:bca92269ac29982d205ffd0cd53b54111fd9ca486e0e0038ada4a644ea8f7dfe

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.843319Z digest=sha256:2ef3827b8a2e1ebb656bb003f3573e7af5e4447f244674beadfa3a3ff3725c0d

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=sha256:251a2ba668b3a9f1d70c971d5049bcd8bf645b9b7ec187c0581b95eaf47e62c8

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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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.855191Z digest=sha256:ffb99753fd106f7e4455bca20b4932c4a6d6544dc40be4eb50217d7942be66cc

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.861806Z digest=sha256:6888fb385b6d6f73fd2b7cd02256e40fd71ab8060c711758298ef9d830249465

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.866535Z digest=sha256:e163792d02a71199e4cc5febb6d2d7817e97053a4a512145c20270688e148168

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.871532Z digest=sha256:82ed4ae2f7d5367c9d5d0ba214a1f4e281a7cb40f07695d6869348c6d1842cff

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=sha256:9cfebf8bd482c1b8ad2694180c582ba7f85ed319052b81da26fbd8bce63a5e74

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=sha256:7bd1acb25d957a6be1d48f31d1c5aac6570a0f12b28d9463a9eb0ecf169f6ce2

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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source=arxiv_source observed=2026-08-16T00:10:59.885272Z digest=sha256:d5fa5e8732792351d4de83e4cb2c7480f31e874ed6d2a3fbfc5cf55bc3d6a451

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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source=arxiv_source observed=2026-08-16T00:10:59.889121Z digest=sha256:faec7161b4a4eb4e16140f7d69d2cc71dd2a7cec048a3f1fdb68fff304dd86f8

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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source=arxiv_source observed=2026-08-16T00:10:59.893224Z digest=sha256:ed4646d42cf5363f5c993a0f201c3d8d1a5e32e030f736e0d0f756606addaaaf

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:10:59.897955Z digest=sha256:d3cd7dd3f3fbb9872da8d8b5b63ed08f87b6591e3108f186e657d04bfbc1c507

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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source=arxiv_source observed=2026-08-16T00:10:59.902057Z digest=sha256:15589ee46ada452171a84e195b7d0ac690ce706086d3ea28cf4bda7ce0a2dc11

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

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source=arxiv_source observed=2026-08-16T00:10:59.906147Z digest=sha256:5c7eab50090b305bdd17a48d40848682dd45010db0c545fcb2210accec6398f0

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.910358Z digest=sha256:e925250a17dcc1721cc0c98c6df74b6e47ee8003b8a41cb90a449aae270b6c7d

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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source=arxiv_source observed=2026-08-16T00:10:59.914435Z digest=sha256:9cdcbec04dca8e0efa93f860f971feca888396153953b93cf419cad75a40abbd

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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source=arxiv_source observed=2026-08-16T00:10:59.919822Z digest=sha256:1d91d09667a2b041c55980889733eb872a704a09ffa96a763fea69edb21f5ea6

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:f8acd967ce57b5bd9549de4eae8d8b8c6f866b83d5da8bf20f7693e3e9feaa81

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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source=arxiv_source observed=2026-08-16T00:10:59.928965Z digest=sha256:4aed1a62fcec3cf1c7d95c68aa08b444d4b14ba044aafb8bd5abc649593c1acb

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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unresolved
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:af4aef04195644a62eccf1c9284cb5d0db58e2f7a64830c25c701a160e5e32e3

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=sha256:14920f2269de9c134a6793d4cb195b705d4de003e9e842689a88e160ade77b2a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.941599Z digest=sha256:71a153e692b7e8a97df29f807aa3db589675ead2f98e8db14e79437a65e9d819

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.945872Z digest=sha256:6da85805548a1b4023fb21ec904fb9214ab2a1f5f9f8386c88245d797dd5c204

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.950376Z digest=sha256:636217a4edb81f36d913d4baa6f3062a7cc606ce181a326f685c8f9c929b32d9

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:f208c49a0017c20145c77d025c6db5c46b6c68299df5db91c7b8853bac3a078b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.960853Z digest=sha256:95248d7706aefab8f9e5f161d005d653d5d3f2c987d6f25feeaada1063f81923

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=sha256:7cbcdef81f6a01ed368d4121f9054ddb31426c9ba3dc97e74c5e7f3dc82a516f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.970540Z digest=sha256:9ca7350368ca535de7efe8148ca8bb48f69f5b2e063bba433ff5b25b6a43b2a5

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=sha256:33abf0bb9dac8e24da15070d310a42dcd9703bc066547e7ce66cf65fc386e2e0

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:a2715aeca89bf96b311feed76925d22d56b8c25e2b1d5090ffe4f18b4c216498

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:cd3fa31e90ebaf3c58afa3a2a6da4bc3305e1466779a6524e58bd5d6cca4f395

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=sha256:163a4daa599651fd5d2f92feaedac41905d595a8f6aaedc7e1e655846cdcdd6b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:10:59.992426Z digest=sha256:6dd112486ddcda91c58d264bf50e95631fc4711c5ba6f7df31e40150cfc1288f

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:c82ff0bfe528db94de6a35f9759752faf8b87f7df566f9546182ecd9acce8489

Pith citing papers

No inbound Pith citation observations are available.