Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-01T05:59:13.631078Z
Paper Citation Record · LEDGER
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents
As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2606.32034.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
54 of 54 outbound references displayed
- verified exact14
- verified fuzzy16
- unresolved6
- parse uncertain1
- malformed identifier0
- metadata mismatch17
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a3933ee5-792b-4935-b865-81a560bc1ba5 · outbound
This paper cites an unresolved cited work.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T19:52:52.667924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ef38512a-5a30-4903-91a2-ef47d691f795 · outbound
This paper cites Tips: Turn-level information-potential reward shaping for search-augmented llms.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Tips: Turn-level information-potential reward shaping for search-augmented llms
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T09:55:41.451131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 24d96a52-7bdd-41a8-9869-d232d87dadc4 · outbound
This paper cites an unresolved cited work.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T19:52:52.666198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 96454670-2fb3-47ab-ad08-5c9d83bb0b81 · outbound
This paper cites 2026 , note=.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents 2026 , note=
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.664571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 67e868da-a636-4816-a9e4-b80fbf478087 · outbound
This paper cites arXiv preprint arXiv:2602.02482 , year=.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents arXiv preprint arXiv:2602.02482 , year=
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T06:05:29.016277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f96846f6-2c49-4cdf-a1fc-80af05bb93cb · outbound
This paper cites Self-Distillation Enables Continual Learning.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Self-Distillation Enables Continual Learning
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T06:05:29.019233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e7a39243-798b-460c-ba3f-c9c8dc242acb · outbound
This paper cites ICLR 2026 Workshop on Lifelong Agents: Learning, Aligning, Evolving , year=.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents ICLR 2026 Workshop on Lifelong Agents: Learning, Aligning, Evolving , year=
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.662913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5e1dbfb4-b4a2-49f4-bfee-b6c1c623549e · outbound
This paper cites and Shaw, Alexander Glenn and Carlini, Nicholas and Li, Boxuan and Raj, Harsh and Bercovich, Ivan and Shi, Lin and Shin, Jeong Yeon and Walshe, Thomas and Buchanan, E.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents and Shaw, Alexander Glenn and Carlini, Nicholas and Li, Boxuan and Raj, Harsh and Bercovich, Ivan and Shi, Lin and Shin, Jeong Yeon and Walshe, Thomas and Buchanan, E
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.669996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation daf67a23-1f94-4e2e-97f8-499672aba2f5 · outbound
This paper cites OpenApps: Simulating Environment Variations to Measure.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents OpenApps: Simulating Environment Variations to Measure
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.658886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ba6ae0ce-624a-4edc-b45f-379450f5e549 · outbound
This paper cites an unresolved cited work.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T19:52:52.655232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a441b8ee-c2e7-4c44-a8e7-286b6eb08e02 · outbound
This paper cites and Cola, Gianluca De and Deleu, Tristan and Goulão, Manuel and Andreas, Kallinteris and Krimmel, Markus and Kg, Arjun and Perez-Vicente, Rodrigo De Lazcano and Terry, J.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents and Cola, Gianluca De and Deleu, Tristan and Goulão, Manuel and Andreas, Kallinteris and Krimmel, Markus and Kg, Arjun and Perez-Vicente, Rodrigo De Lazcano and Terry, J
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.660977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d154a4ab-95d4-499e-b42d-7cf65972f9a9 · outbound
This paper cites an unresolved cited work.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T19:52:52.634891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2b76f36d-c9eb-489f-a788-ed46e0424b0f · outbound
This paper cites 1945 , pages =.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents 1945 , pages =
Reference 13
- Resolution
- verified exact
- doi, observed 2026-07-01T06:05:29.021452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 109a2582-1c9c-4382-915c-09822e9203ab · outbound
This paper cites A new measure of rank correlation.Biometrika.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents A new measure of rank correlation.Biometrika
Reference 14
- Resolution
- verified exact
- doi, observed 2026-07-01T06:05:28.967805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f798e5e3-e701-412b-b403-254a28e52d86 · outbound
This paper cites 35 Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents 35 Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R
Reference 15
- Resolution
- metadata mismatch
- doi, observed 2026-07-01T06:05:29.006831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 98a462d7-08f2-432a-8a94-b3e562f1a572 · outbound
This paper cites VII. Mathematical contributions to the theory of evolution.—III. Regression, heredity, and panmixia.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents VII. Mathematical contributions to the theory of evolution.—III. Regression, heredity, and panmixia
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T06:05:29.004249Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7c0ab1c1-c8c5-47c0-8b53-ef24265f7dbf · outbound
This paper cites an unresolved cited work.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T19:52:52.647959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8f70c172-cc06-4cd3-b833-e878e5cf26ec · outbound
This paper cites 2026 , author =.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents 2026 , author =
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.651001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0c81cebf-725e-4c8d-bf0d-d5cd7c9a24a5 · outbound
This paper cites an unresolved cited work.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-07-06T19:52:52.651699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7552923a-587b-436e-a514-29268ccb0c07 · outbound
This paper cites and Barto, Andrew G.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents and Barto, Andrew G
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.653557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7e257c46-a4e5-4c07-a8fd-787ae06ea87d · outbound
This paper cites In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV).
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T06:05:28.971294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bbe70db6-e0d6-44e5-bdc3-92f0b108fa86 · outbound
This paper cites Learning.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Learning
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.673133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fa7d6cf9-2de4-469a-9cbe-3017f2cee930 · outbound
This paper cites Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T06:05:29.000069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d7d7e84b-5cbe-4546-be36-ed692400209a · outbound
This paper cites Code as Reward: Empowering Reinforcement Learning with VLMs.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Code as Reward: Empowering Reinforcement Learning with VLMs
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T06:05:28.982000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f7fe787f-399f-467c-971e-38c5db5a2352 · outbound
This paper cites RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T06:05:28.995527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2321afa4-da3a-4646-be53-7d7f2544ff96 · outbound
This paper cites Opengvl: Benchmarking vi- sual temporal progress for data curation.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Opengvl: Benchmarking vi- sual temporal progress for data curation
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T06:05:29.010527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f55c3edd-7944-43f9-bba1-96fdd379234e · outbound
This paper cites Revisiting the.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Revisiting the
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T06:05:28.932214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 157aae37-3740-48b6-9780-a27d40860516 · outbound
This paper cites RewardBench: Evaluating Reward Models for Language Modeling.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents RewardBench: Evaluating Reward Models for Language Modeling
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T06:05:28.936347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 79e1e772-0d04-4904-934a-bfae62d33953 · outbound
This paper cites RewardBench 2: Advancing Reward Model Evaluation.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents RewardBench 2: Advancing Reward Model Evaluation
Reference 29
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T06:05:28.939461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0043aa8f-e713-4146-bdfc-67c29dfac921 · outbound
This paper cites RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T06:05:28.976511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 35a99e2e-16d4-4109-8098-4ff0b1785f3f · outbound
This paper cites VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T06:05:28.943625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5c822b84-a066-493a-a62b-baf5fcfee596 · outbound
This paper cites Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T06:05:29.027260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 02e219c0-c28a-4761-a0a1-eb3c2cf3efe4 · outbound
This paper cites First, I need to.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents First, I need to
Reference 33
- Resolution
- metadata mismatch
- doi, observed 2026-07-01T06:05:28.957262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 78bf6502-4272-4c30-887d-4a0b9246454d · outbound
This paper cites PRMB ench: A fine-grained and challenging benchmark for process-level reward models.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents PRMB ench: A fine-grained and challenging benchmark for process-level reward models
Reference 34
- Resolution
- metadata mismatch
- doi, observed 2026-07-01T06:05:28.963802Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c796c31f-f67f-45d3-9f07-900d160670a2 · outbound
This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Reference 35
- Resolution
- verified exact
- doi, observed 2026-07-01T06:05:29.012936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5f83cd3e-390b-4f04-93a1-951548c57b07 · outbound
This paper cites Reinforcement Learning via Self-Distillation.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Reinforcement Learning via Self-Distillation
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T06:05:29.024306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 51faed78-63b5-4e3f-8040-a7d39a312273 · outbound
This paper cites Advances in Neural Information Processing Systems , author =.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Advances in Neural Information Processing Systems , author =
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.638702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 54422670-1073-43a1-8d79-4666e20112a5 · outbound
This paper cites When to solve, when to verify: Compute-optimal problem solving and generative verification for llm reasoning.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents When to solve, when to verify: Compute-optimal problem solving and generative verification for llm reasoning
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T06:05:28.950682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0d63806a-cc2d-4e0f-9087-897fe4c60099 · outbound
This paper cites VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T06:05:28.954751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2578d05a-2c2a-45e4-9621-83c45bd0c98d · outbound
This paper cites CriticBench: Benchmarking LLMs for Critique-Correct Reasoning.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T06:05:29.030156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8c9d1108-cfc3-4cbe-90b6-a487b4ed7b84 · outbound
This paper cites Agentrewardbench: Evaluating automatic evaluations of web agent trajectories.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Agentrewardbench: Evaluating automatic evaluations of web agent trajectories
Reference 41
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T06:05:28.947305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 40c48294-11f2-48b9-8d3c-8010f0ee2217 · outbound
This paper cites International conference on machine learning , pages=.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents International conference on machine learning , pages=
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.643043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0b30a001-f5e1-44ba-b581-2e162225353f · outbound
This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Proceedings of the IEEE/CVF international conference on computer vision , pages=
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.645755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 700856bb-44d7-4acf-b025-8dec6935e85f · outbound
This paper cites The Twelfth International Conference on Learning Representations , year=.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents The Twelfth International Conference on Learning Representations , year=
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.657052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5e767bed-48c0-49f0-b88f-1a9050aebd65 · outbound
This paper cites Vision-Language Models as a Source of Rewards.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Vision-Language Models as a Source of Rewards
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:55:41.445185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d42b74b8-b49c-4651-902f-6dda65f2f3c7 · outbound
This paper cites VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Reference 46
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T09:55:41.447835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d243046e-b23c-4976-8c11-a0d711fcd871 · outbound
This paper cites International Conference on Machine Learning , pages=.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents International Conference on Machine Learning , pages=
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.641682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c7d0a55a-ce8c-4cf5-9b85-4aff68ba3198 · outbound
This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Reference 48
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T09:55:41.450296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 81d37c85-b869-4f01-98c6-68951a962b82 · outbound
This paper cites arXiv , year=.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents arXiv , year=
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.671579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a46c1e36-5960-43b4-b88c-c6591fa37774 · outbound
This paper cites an unresolved cited work.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Unresolved cited work
Reference 50
- Resolution
- parse uncertain
- raw_fallback, observed 2026-07-06T19:52:52.657843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 793bbf91-964b-4960-809a-4217747d9850 · outbound
This paper cites ICLR 2026 Workshop on Lifelong Agents: Learning, Aligning, Evolving , year=.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents ICLR 2026 Workshop on Lifelong Agents: Learning, Aligning, Evolving , year=
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.633049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fc746ef1-9153-4029-928b-ee10779f7395 · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T09:55:41.439661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c932ff6a-1a4f-4db7-9e44-49e581b9b330 · outbound
This paper cites Beyond Binary: Turning Partial Success into Dense Verifiable Rewards for Reinforcement Learning in Code Generation.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Beyond Binary: Turning Partial Success into Dense Verifiable Rewards for Reinforcement Learning in Code Generation
Reference 53
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T09:55:41.440160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 83b96394-83ac-44a4-a155-fbf408ff7fc9 · outbound
This paper cites Hasegawa-Johnson and Chang D.
QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Hasegawa-Johnson and Chang D
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-06T19:52:52.636710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.