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Paper Citation Record · LEDGER

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning

As of 12 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2606.31157.

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

pith.paper-citation-record.v1
2606.31157 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

49 of 49 outbound references displayed

  • verified exact13
  • verified fuzzy18
  • unresolved11
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 11acef8e-95cf-45d8-902e-82bee4dbd63d · outbound

This paper cites Envisioning the Future of Transportation: Inspiration of ChatGPT and Large Models.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Envisioning the Future of Transportation: Inspiration of ChatGPT and Large Models

Reference 1

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malformed identifier
doi_truncated, observed 2026-07-01T06:45:28.808739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 1c4a99ce-fad1-4abe-8246-101d8bd42623 · outbound

This paper cites HarnessingMultimodal Large Language Models for Traffic Knowledge Graph Generation and Decision-Making.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning HarnessingMultimodal Large Language Models for Traffic Knowledge Graph Generation and Decision-Making

Reference 2

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verified exact
arxiv_id, observed 2026-07-01T06:45:28.780798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 38aaa4e9-ed1f-4260-9fde-7404adf71e4e · outbound

This paper cites Multimodal Large-Language Model Empowering Next-Generation Autonomous Driving Systems.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Multimodal Large-Language Model Empowering Next-Generation Autonomous Driving Systems

Reference 3

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arxiv_id, observed 2026-07-01T06:45:28.776970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation cb48fe3a-3039-406d-989d-8e1acc93b8af · outbound

This paper cites IEEE Transactions on Intelligent Vehicles doi:10.1109/TIV.2024.3402136.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning IEEE Transactions on Intelligent Vehicles doi:10.1109/TIV.2024.3402136

Reference 4

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arxiv_id, observed 2026-07-01T06:45:28.799639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:25ed95fbf69fd4be2bc7f725dd71c06951888b9188d74e1699b657f75748d2e4

Observation 7ca8632a-f8eb-48c5-a29c-fc6725dc4036 · outbound

This paper cites DriveVLM: The convergence of autonomous driving and largevision–languagemodels.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning DriveVLM: The convergence of autonomous driving and largevision–languagemodels

Reference 5

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verified fuzzy
raw_fallback, observed 2026-07-06T17:42:43.894225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:a6a0d26cc305d8953aa5965dafcd44751297a96d681ac4a2f2a294195c5f9514

Observation af8ca416-67b5-4b98-a473-f3ac61861703 · outbound

This paper cites Mon-Williams, G.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Mon-Williams, G

Reference 6

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doi, observed 2026-07-01T06:45:28.788007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:f6b3e433f15bd7a4d996f364e00e5ff8c317a34f341537cd3ba65c7ef4c2c7b3

Observation 5c19d9a5-74d1-4f82-8f75-e53ecebe2fc2 · outbound

This paper cites GRAPE: Generalizing Robot Policy via Preference Alignment.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning GRAPE: Generalizing Robot Policy via Preference Alignment

Reference 7

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arxiv_id, observed 2026-07-01T06:45:29.789741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:e6f2462eb557a432635aef383ecbeceb00db056e68bbd9cc445899de618058ae

Observation 3fa98b85-9d0c-4fda-81d8-517625619533 · outbound

This paper cites VLM-AD:End-to-endautonomousdriving through vision–language model supervision.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning VLM-AD:End-to-endautonomousdriving through vision–language model supervision

Reference 8

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raw_fallback, observed 2026-07-06T17:42:43.887135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:8a2c784bb8ab1b25d0fd083a20b406584a9837caa55d9777700d5c51efef3c92

Observation c72543de-eee2-403f-8a6e-8be439308a63 · outbound

This paper cites AEFusion: An Attention-Based EnsembleLearningApproachforBEVFusionPerceptioninAutonomous Modular Buses.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning AEFusion: An Attention-Based EnsembleLearningApproachforBEVFusionPerceptioninAutonomous Modular Buses

Reference 9

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arxiv_id, observed 2026-07-01T06:45:28.770603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:99d644892fec5c9e1ab4c84d0dce299eb7841601e895b38dd2eced8ac2166071

Observation 70888022-8ff4-4437-af26-a102358ff643 · outbound

This paper cites A High-Precision Calibration and Evaluation Method Based on Binocular Cameras and LiDAR for Intelligent Vehicles.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning A High-Precision Calibration and Evaluation Method Based on Binocular Cameras and LiDAR for Intelligent Vehicles

Reference 10

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arxiv_id, observed 2026-07-01T06:45:28.803389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:87042e9fe6e3949cc0080d615c2c4f9d9ab15d3a8f27de26e83bcd7bf1d76939

Observation 96de4ec0-8e86-4234-a6d0-44ba26a8cfba · outbound

This paper cites Few- Shot Learning for Novel Object Detection in Autonomous Driving.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Few- Shot Learning for Novel Object Detection in Autonomous Driving

Reference 11

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arxiv_id, observed 2026-07-01T06:45:28.795795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:f94959582e3c74e1113547299ec436f5debf8d65717cec4b849b60a5b5a1cc9a

Observation f770fbdf-6f5e-4ae2-8cdb-2b4a633994bc · outbound

This paper cites Use of cumulants to quantify uncertainties in the HBT measurements of the homogeneity regions.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Use of cumulants to quantify uncertainties in the HBT measurements of the homogeneity regions

Reference 12

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metadata mismatch
local_arxiv, observed 2026-07-01T06:45:28.766838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 64bad9d5-0c60-4a0e-a8ef-c9eceb5ba023 · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 13

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local_arxiv, observed 2026-07-01T06:45:29.782105Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:a5811d081461cf7cbacfa30d1e3f9b61ebe699875a7c5f95eb1dc4baeece2159

Observation 3d86ddbd-c0ee-4d93-b5bc-fcc33f30cf43 · outbound

This paper cites Qwen2.5-VL Technical Report.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Qwen2.5-VL Technical Report

Reference 14

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verified exact
local_arxiv, observed 2026-07-01T06:45:29.778743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:7155e16a4c03ce37184764dc716b796fdbb4b72d4835186e4eee85ee544885dc

Observation 0f99fb59-4f49-444b-aa81-3e504a3578fe · outbound

This paper cites Grounding DINO: Marrying DINO with grounded pre- training for open-set object detection.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Grounding DINO: Marrying DINO with grounded pre- training for open-set object detection

Reference 15

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raw_fallback, observed 2026-07-06T17:42:43.883548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:12cf3ef67361af115a0d2122b25ddd14d67a916777f9ffd6e02294f9dac5620a

Observation cf6bd4ea-7bd7-40c1-9793-4655bdee3484 · outbound

This paper cites In: European Conference on Computer Vision.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning In: European Conference on Computer Vision

Reference 16

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doi, observed 2026-07-01T06:45:28.773252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:cba017f7e4984b746eedbfa940acba354e8789257fdbf490df3baf376da265bd

Observation f2682d51-eca3-4a8c-ab9f-fd15c87bfbb5 · outbound

This paper cites Pix2Seq: A Language Modeling Framework for Object Detection.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Pix2Seq: A Language Modeling Framework for Object Detection

Reference 17

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:682b808f9dad7668b69cca4182dd38001c4c8f7e651c1519cb158dcaf4f215f7

Observation 166e5233-75dd-437f-a2a0-273507b5181f · outbound

This paper cites LISA: ReasoningSegmentationviaLargeLanguageModel.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning LISA: ReasoningSegmentationviaLargeLanguageModel

Reference 18

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raw_fallback, observed 2026-07-06T17:42:43.896276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:6f09be0370d8e6257a3e72c9082b9fd95d5b457b79e85749c57ede5fac8cd178

Observation 11285bcf-20ac-4f92-b057-a6361c18603d · outbound

This paper cites MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Reference 19

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raw_fallback, observed 2026-07-06T17:42:43.875898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:c1678b663b28c39e97abb52cd0bc6b373c68fec6e3426135446f2acc2581f53c

Observation 136a6da1-5974-41dd-8b33-b09817997e7c · outbound

This paper cites CoverNet: Multimodal Behavior Prediction Using Trajectory Sets.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning CoverNet: Multimodal Behavior Prediction Using Trajectory Sets

Reference 20

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raw_fallback, observed 2026-07-06T17:42:43.869743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:db53fd348ecd693b84cb0e892b9aa704165c1f4a1c37a093197777feb6198236

Observation a352434e-3d99-4f87-95b8-8724685ba95f · outbound

This paper cites HPNet: Dynamic trajectory forecasting with historical prediction attention.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning HPNet: Dynamic trajectory forecasting with historical prediction attention

Reference 21

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raw_fallback, observed 2026-07-06T17:42:43.888834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:d0d5944707c208bbcedbefd022ab50890be634088b41e1f5b1526b20beb79b1e

Observation dc839909-59ff-46d6-97c7-c32794684d9b · outbound

This paper cites HowGenerativeAdversarialNetworks Promote the Development of Intelligent Transportation Systems: A Survey.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning HowGenerativeAdversarialNetworks Promote the Development of Intelligent Transportation Systems: A Survey

Reference 22

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arxiv_id, observed 2026-07-01T06:45:28.791847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 431c21f3-68e0-40c1-8c1c-9bd9c9046e0d · outbound

This paper cites A Dynamic Prompting and Scenario Generation Method for Autonomous Driving Perception via Large-Model Optimization.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning A Dynamic Prompting and Scenario Generation Method for Autonomous Driving Perception via Large-Model Optimization

Reference 23

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arxiv_id, observed 2026-07-01T06:45:29.774800Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:5410764df9d54a631de2841a47365550dd8f7ce37e93383c5afc849f912506d0

Observation ab47b0ee-ed28-44e7-aae5-d55e8d18821e · outbound

This paper cites Risk-Controllable Multi-View Diffusion for Driving Scenario Generation.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Risk-Controllable Multi-View Diffusion for Driving Scenario Generation

Reference 24

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raw_fallback, observed 2026-07-06T17:42:43.874013Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:23b0eb527ae795d291b5c724cd084ffa2f1a35a10b62f57a55765cb4d8a16d40

Observation 59142d4c-bbc9-4995-80b0-e884a527ad0a · outbound

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

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Training language models to follow instructions with human feedback

Reference 25

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raw_fallback, observed 2026-07-06T17:42:43.872229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:cfbfbcf6f5bad2fb756d6987ed416e69e1ff2e64cf869a096482e561de6346a3

Observation 94d045e9-d1ee-4b3d-86d1-ec7a921faa74 · outbound

This paper cites A meta- analysis on the reliability of comparative judgement.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning A meta- analysis on the reliability of comparative judgement

Reference 26

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arxiv_id, observed 2026-07-01T06:45:28.785324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:4d2bf2bdbac7612745f98719081607798381682ca346283f2b12797ed1352460

Observation a47ba181-da55-4b45-84f8-f0fd6afb4759 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning LoRA: Low-Rank Adaptation of Large Language Models

Reference 27

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raw_fallback, observed 2026-07-06T17:42:43.881743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:62159905f85c4bcc631a33e9c258591ff86bdf44c9d7094de87dd34c6322c617

Observation 178978c1-3b8f-476d-b1c5-6e326916c01f · outbound

This paper cites DETRs beat YOLOs on real-time object detection.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning DETRs beat YOLOs on real-time object detection

Reference 28

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raw_fallback, observed 2026-07-06T17:42:43.890516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:55bf8745af331e39377515cac85b1bd7a399177664831936db8b68a094417e08

Observation b658ea2f-71b1-40a5-9242-62ab525a777f · outbound

This paper cites 3D-MOOD: Lifting 2D to 3D for monocular open- set object detection.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning 3D-MOOD: Lifting 2D to 3D for monocular open- set object detection

Reference 29

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raw_fallback, observed 2026-07-06T17:42:43.880068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:db33773a6e1dd2bfe969417ab0cca92e3a8a547893a1d784eeed91e0565755ed

Observation 2ea305ce-93b1-4e88-8928-e345c928c438 · outbound

This paper cites Masked- attention mask transformer for universal image segmentation.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Masked- attention mask transformer for universal image segmentation

Reference 30

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raw_fallback, observed 2026-07-06T17:42:43.892524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:e01304270065437e9358b9a6e717fdd6040d2696e3781712a349dfc9422c7efc

Observation 610b5631-3eae-42a2-bf0d-a908de40fb8a · outbound

This paper cites Fast Segment Anything.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Fast Segment Anything

Reference 31

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arxiv_id, observed 2026-07-01T06:45:29.785824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:4ef741ab60382181efbf6d4c9770487beb2ccf56a11ba7f2d9ab3fe85d16f40f

Observation 1338e5cb-4141-4b8c-9132-93af72db455b · outbound

This paper cites In: Proc.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning In: Proc

Reference 32

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doi_truncated, observed 2026-07-01T06:45:28.762577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:b1e24af19abfb471c049cd675ce447628c1d7a5798e9d05dc23ed7768e16b2b6

Observation 3b3e3069-b39e-4c2e-99c6-b4aacb57a1c8 · outbound

This paper cites Vision meets robotics: The KITTI dataset.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Vision meets robotics: The KITTI dataset

Reference 33

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verified exact
doi, observed 2026-07-01T06:45:28.760156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:3004a816a9fe5aa5c5e106478d3eb9dcd132c6adc8103ff7962f1db99330c487

Observation 136a14b8-5d30-4732-b7ec-e592685ac1b9 · outbound

This paper cites Argoverse: 3D tracking and forecasting with rich maps.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Argoverse: 3D tracking and forecasting with rich maps

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T17:42:43.885194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:0b0f0bdda559316146c69141d164e77a2ce2b288927fefb4b6f9163705fcf0de

Observation 0199e5c5-e9c5-4bbe-b100-91fefef38187 · outbound

This paper cites The Cityscapes dataset for semantic urban scene understanding.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning The Cityscapes dataset for semantic urban scene understanding

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T17:42:43.878167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:20d63ad2637801c645ee9604248ed8969ef746c758edb5c5f88d91e7caa894a7

Observation f7235fad-6713-42c2-99e8-9679d5f925a2 · outbound

This paper cites Toward Human-in-the-Loop AI: Enhancing Deep Reinforcement Learning via Real-Time Human GuidanceforAutonomousDriving.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Toward Human-in-the-Loop AI: Enhancing Deep Reinforcement Learning via Real-Time Human GuidanceforAutonomousDriving

Reference 36

Resolution
verified exact
doi, observed 2026-07-01T06:45:28.805919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:96893b298e6a42c66f121e5d8163661b704f302f89cdb5a5db767244361f6d0d

Observation 121c24e3-79a6-4bd0-bd65-d37357772f7a · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.867874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:7efbe9635c25918cedb8e3fa252b104a4d3048b3535780227632ef0b1f4fc73a

Observation 940d4e3e-9b8f-44a3-bdde-f067378ebb07 · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.899962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:4fda2a5c4d1be7027371e2e457716a35ff8edae0e43318ff9a9303d920ad9652

Observation 85969976-e6e8-4caa-9a4c-5482f1a86eb3 · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.901757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:f4e08df53cd8c21657f33f2269da6c78c4debeb08e39100d43b7056557eec8f5

Observation a1bb6aa3-2f53-46ec-b7d9-d3178090595e · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.904093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:50a7815eb217ba168125e7eac0fe8673f4b2f30fe61671be7491b35047f74ab2

Observation d0501a8f-8556-47c6-b32e-40947e92f5c4 · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.905827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:f304628cbf58a3eaeeb892d8e35b38efaf4c310f65dbd84b651571e0664ee35a

Observation 1009163c-8fb1-4adb-b5a3-6cbbdf01a8e9 · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.920685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:944a94d54cfd61385cc004ae690afe13a71824425877b2835c8adc086799a275

Observation 1cec4476-9e04-40a8-bbb7-6be6a62796fe · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.918739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:138b6dcc082291e1f3b0ed6acd8981c3c52d93c1685f9c7858cbce4e7e420b9e

Observation 4c06b446-f8bc-4f44-b046-4d303a0ae732 · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.913164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:d1cd359dcae70ba2aaa5269e049928086c21631648659a75ec624b2dc506cb52

Observation 9b9416a4-eeec-439f-a31c-c676292b846f · outbound

This paper cites 11 Trajectory prediction – selection prompt You are analyzing a trajectory prediction scenario.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning 11 Trajectory prediction – selection prompt You are analyzing a trajectory prediction scenario

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T17:42:43.911277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:48a9bc7a78792985fc674a0eeb7ba58ad9067b120a4240ba2ce0324b06b309af

Observation 65d014b6-c776-4511-a04d-74ff57f42dc8 · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.909236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:d94de36dfa18897d8b0dda01148be5cfc773216771afb0d6ab5c673f187c2c78

Observation 131d480d-7189-48fc-ab6d-96f7392858b9 · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.915004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:e950039c7da559a4786d5916d9c7c410911202f71145ba52f4e91c45b5b706fb

Observation f3f3aabd-a95d-4a6e-913e-ed6bf9b910f3 · outbound

This paper cites an unresolved cited work.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-07-06T17:42:43.907584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:ded15f6b7ea95f0c80729e110db280ed0a3dd327d05d675fcabb95fa2afa8988

Observation 8f9c69ab-531f-488d-9596-b3ee70d4e225 · outbound

This paper cites Candidate 3.

Rethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning Candidate 3

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T17:42:43.917038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:1b25b0b787158cd6016e78e04fbdfc870ba4480cb08f931f1039d579c398c0e8

Pith citing papers

No inbound Pith citation observations are available.