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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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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 2026-08-10T06:31:04.303077+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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:393d4814c82bd698c50077d0eade09c3443b2b09ea1290a8ab383fdb7cbc5c9c

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:0b26949ce3b237608e01d83e11e1b22ffe1bbe2e6d68420a0a4f6909df049be0

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

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source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:fda3efd44e38c568193227f1cb54e57152bcccf11886e159a22f2eb03447e5cc

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:d670c29e64a5b2624b038e3b69bed648179329406fecbb7829149356bafb4860

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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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:90f17aa01673a0ebb564e19f66ef6b95b9f1e07fe18cf5e8ab1e4ce01b138d03

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:00f773458389634d68e3f1acfc827eab68be94d9223fe995d051ea7ec5d43835

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:d7c87e9eaacd8d5efeaed4bdae05a5029a6cb985df5ba3c9cf44c82620881e71

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:0467e44ec8d55c61cafd133dbdc8d0e4bab897e6549bdfd4b747dfd1b16150be

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

Source-reported events for the cited work

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:bc248216e34ffa2a1bf48c9d54a7da82d0270eb41a84ff00c25feb606353106b

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:94a3082512c55ad269ecbca554b34b417e9095096c1bc02db002737a2f2f40bb

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:e45580c7e4fa743881f1ed59163c5f42bc0351533c18bf69e0f735f4c2846a6a

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

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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=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:2bfe32eb4658c638a447cd564bba4373d1a49996f7d76dba5d17db10b533b715

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

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source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:8ab9cb483239292eb7db32a21ff96ce65c29eeb5af425cd3dc4824fcdad15e21

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:8fe975f5ed184570544ae60f9709d96303392da69efd06f22a389e23cb079300

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

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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

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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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source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:d264ca730f3d31db9de831af25df847c6fc90562ebff0f784ca416a97c31d073

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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source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:ad3d98f8051944ce876254c604938cf197bd8bfec97f47a783d8b547a653134a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:1824830a20383b58c82d6d2243c69ce8952533a4ff4be193929a8808690ecd27

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:96625196eb659f873591d3f55e22cd0a9481a71bc32f7f9ebe61592351e420a3

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

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source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:abd26a02e9351cf4e9a5441580a6e1863dee0d42aa927ff84b23ea444947864c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:dab4de7d7e567e8e14d4485e47828a35454ebfa73e388ca8eea02ee4ab774e27

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:71f62bb670ae8d8b0d9b88dc916ff08ff061491567882e8c81de437cb41bfc31

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:15598214a64b713f16a7933da1d522f43cca4c22f304ce4b1ad50a2fc14ebc3a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:eff049f3a7577c94d9625025c09486ddbcd0583d30ecd8f6625264b15a15a2bf

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:cf5b23b492cdf7dfab4ef2f6ba0ce366b98563296ad3e01fa868661393143719

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:c6c8c876b400548c7dead8f02abef50172224072e4eee20a1c3949d199b02854

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:c2068c51a16aaf97a35ca889b7cfae1bd60dd9efff706244847efd47a231b306

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:7373b7237bfff47e0f23b101da25d7a53178d1e8507773c8cc2610ff4be771a9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:c2fbb8a134b08c6979be593d73bb150592186c67fe296148550a9b10db0daac3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:3b5b6272c4574b07d5966af8fb2f0dc52f3a1814e38db981883454050d426a70

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:eb4a5aed6bc81ca0875f8d274662d455bab43bc6076e7c2d429a992eee4bc0bc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:2b62fa4bccb7630c4e1ba54372ba40c65080196ac3046f129ed7da5da0429905

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:1e6d2ccdd81d12a91bc86da2335a27d4e91c293ad24a6425a12022c840964868

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:aeedb0ff6da6096ef0b814b374878218afd15c9aa32f21e6a6876f2e783dff27

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:c048132a01a5528d405abe2d080a910fa5b17891b94545775c4b0d79b849283a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:7919a339ed63ce8ca38154d31158342ba19dbb3eba8d1b7e8ec9c140480d3248

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:5afbac3c262b3711bca5419ff0be0982bc6851e9277f91fb006dce3a3bfc37b7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:5144f6c245e86573d05321098e948b9713c941b4fd2bff76bb8e995b5b4dc3f2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:9e3a009c6e74a2466cc3cf6a365551d2976c72f85814269d4368be6c563d9601

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:a2863144c2062ff5040d4943880fd0d12654fcf56f24b8d4dbf1d83194f8c2bc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:38:44.170473Z digest=sha256:696408b7b78825cfb60145122f154d7445cdbf23303a69179d2d5c04c6bd67fb

Pith citing papers

No inbound Pith citation observations are available.