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Paper Citation Record · LEDGER

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis

As of 20 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.16401.

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

pith.paper-citation-record.v1
2506.16401 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:31:29.708599Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed581d26-fdb5-4752-8581-590c5ad87a51 · outbound

This paper cites GPT-4 Technical Report.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 075c25af-af71-400d-bde8-7e9917913227 · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-15T19:31:29.627980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5fdb1f77-6c8c-4518-94ef-4eb87b33c0cf · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d7e569e5-27e3-4e6e-8e2e-6bc7186cec97 · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d449bf15-6af0-479d-9170-741fa3a70c00 · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 559ff011-10c4-4c67-b96b-0c536c87426f · outbound

This paper cites Seed1.5-VL Technical Report.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Seed1.5-VL Technical Report

Reference 6

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no resolver link, observed 2026-08-15T19:31:29.641768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5990d77f-2423-4426-be1f-3938b3a70cf5 · outbound

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

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 88bca072-425f-480e-9caf-e09debe5590c · outbound

This paper cites Evaluating the Effectiveness of Large Language Models in Representing and Understanding Movement Trajectories.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Evaluating the Effectiveness of Large Language Models in Representing and Understanding Movement Trajectories

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6ab3f81d-4119-43b1-b912-74c0e957cd2a · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d1bf97c7-cec0-4b7c-aec7-6cf397ec7906 · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6011a31c-4f65-44fe-87b0-1ef2005e1432 · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3e0753e8-58a8-4942-826a-64418db630aa · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c68fcb56-ff75-4b3d-a39b-95f925e866a5 · outbound

This paper cites Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 51e11966-2208-4a9d-bded-4b44d7e574dd · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c1b80f07-9881-4395-b27a-74b12fbc269d · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Gemini: A Family of Highly Capable Multimodal Models

Reference 15

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Unavailable: canonical work link unavailable.

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Observation db3c02a1-b30c-4333-9fd1-cbc10e88c0bf · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 94aee8ab-22b4-40a3-953e-2df352ebc02b · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 20d27938-c209-429c-a992-81259b55b0d3 · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f8472922-4251-403b-a869-35a1120d4bf6 · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 816abce7-60de-4177-a3b3-4244cfdad1b6 · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5544a4b5-d0eb-41f0-8756-f632301d8f5e · outbound

This paper cites an unresolved cited work.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Unresolved cited work

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 696f79f2-cd06-4d24-bbb5-a970ca38e359 · outbound

This paper cites RED: Effective Trajectory Representation Learning with Comprehensive Information.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis RED: Effective Trajectory Representation Learning with Comprehensive Information

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 546d5186-3867-4545-bf8c-24b29b04d8d6 · outbound

This paper cites Total Duration:∼10.75 minutes (645 seconds).

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Total Duration:∼10.75 minutes (645 seconds)

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 70e58778-9b12-461b-baf7-d0fc508c2150 · outbound

This paper cites Figure 2: Example Inputs for the Multimodal LLM Speed Variation: Moderate fluctuations (5–29 km/h in initial segments), with deceleration during brief stops.

TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Figure 2: Example Inputs for the Multimodal LLM Speed Variation: Moderate fluctuations (5–29 km/h in initial segments), with deceleration during brief stops

Reference 24

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malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.