Pith. sign in

Paper Citation Record · LEDGER

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories

As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2506.02571.

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

pith.paper-citation-record.v1
2506.02571 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:26:32.164257Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T14:34:58.398278Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact3
  • verified fuzzy18
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6be6aaef-e9cd-48c9-a555-a7480040567d · outbound

This paper cites Wayformer: Motion Forecasting via Simple & Efficient Attention Networks.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:29.624226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.624226Z digest=sha256:f5a22efde96a91320785c5dd5415c3113bbc5f8253fdc24a5da44ee6240473d1

Observation 8d675dd1-0c21-42f8-94e2-5718ad681a1b · outbound

This paper cites Query-Centric Trajectory Prediction,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Query-Centric Trajectory Prediction,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:36.372325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:29.686181Z digest=sha256:b965d018712ae06d979c504e664cbde16367d96fd865a43457b060f19fbc28f2

Observation d330c623-b4e9-4e22-9cfe-ad5fa049069d · outbound

This paper cites Words in motion: Extracting interpretable control vectors for motion transformers,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Words in motion: Extracting interpretable control vectors for motion transformers,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:36.252393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:29.759059Z digest=sha256:d500bba710a8585b42ce1d2bd7c92bd2112ba43ca573023f212d1cf7989d4bbc

Observation 0d2c98b0-6fa2-463e-ad76-0b30f3414107 · outbound

This paper cites Motion Transformer with Global Intention Localization and Local Movement Refinement.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Motion Transformer with Global Intention Localization and Local Movement Refinement

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:29.867456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.867456Z digest=sha256:2086489e95f9fa4403da90908090fc98716235ce59839fe22a8dfdc2709fc01e

Observation 29248c9d-13cc-44df-b435-e267c8600434 · outbound

This paper cites ControlMTR: Control-Guided Motion Transformer with Scene-Compliant Intention Points for Feasible Motion Prediction.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories ControlMTR: Control-Guided Motion Transformer with Scene-Compliant Intention Points for Feasible Motion Prediction

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:29.967279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:29.967279Z digest=sha256:ea4339f4bb492742eb27143dc75a24c5a89d817df75b17dd367aa8f69214d0f1

Observation 75b1123b-a266-472f-93e5-c9a498a01378 · outbound

This paper cites PRANK: motion Prediction based on RANKing,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories PRANK: motion Prediction based on RANKing,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:36.016812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:30.068474Z digest=sha256:da6bd258663b2b6e93fee96e59805c289fcbdbf840398f12ccecf93e6a94177d

Observation 35fcc9ce-1f4a-49bc-9a35-fd8138933746 · outbound

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

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories CoverNet: Multimodal Behavior Prediction using Trajectory Sets

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:30.128102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.128102Z digest=sha256:933f2da0d11be4a2422b4bf02b0aa48784a090114086cf939e69b958c206c3eb

Observation 44528f2d-8ffe-4119-bcfc-1eec7f37b852 · outbound

This paper cites KI-PMF: Knowledge Integrated Plausible Motion Forecasting.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories KI-PMF: Knowledge Integrated Plausible Motion Forecasting

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:26:33.278448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:30.217975Z digest=sha256:b3954c553fae8b66bdbaa16055ded2f2abc2a28e3cff30e10345126f6e93e46c

Observation ff5f56c8-0fa1-4591-8bd7-82ab59fa9a1a · outbound

This paper cites Efficient Data Representation for Motion Forecasting: A Scene-Specific Trajectory Set Approach.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Efficient Data Representation for Motion Forecasting: A Scene-Specific Trajectory Set Approach

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:30.283637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.283637Z digest=sha256:3d280454f5d30ac75505302c8829989786450fdaea60ad46c9cf9c5627db0075

Observation 989fc0cc-fb5a-42db-a7d6-f771547ba3ad · outbound

This paper cites Billion-scale similarity search with GPUs,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Billion-scale similarity search with GPUs,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:30.364317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.364317Z digest=sha256:0923eebede90411c5267f782c618724bcd528504823ca06022f2c364913d1d62

Observation da434fa4-ad9f-478f-b27c-b83cd0ceb740 · outbound

This paper cites Trajectory Similarity Measurement: An Efficiency Perspective.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Trajectory Similarity Measurement: An Efficiency Perspective

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:30.442382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.442382Z digest=sha256:56148e4451e925d555e918f827ddbd86508b41dc82f3f7618edfc36d76a8f454

Observation 507f657a-da74-4a6b-b0f5-f73c35b1633e · outbound

This paper cites FastDTW: Toward Accurate Dynamic Time Warping in Linear Time and Space.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories FastDTW: Toward Accurate Dynamic Time Warping in Linear Time and Space

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:35.772797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:30.540538Z digest=sha256:5d8f0f250274648b06cce2562d675a69682f7509c105b4f56693c367829d9101

Observation 8b76e043-557b-4c83-9982-8c6b1f76aa75 · outbound

This paper cites Comparing images using the hausdorff distance,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Comparing images using the hausdorff distance,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:35.639430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:30.615678Z digest=sha256:098b220a0d582db79739eb1fe10d695a0319b611920e440f566a4336698fa477

Observation 9eeda5da-f1f4-4182-9896-e8cb7b083e4a · outbound

This paper cites On the marriage of lp-norms and edit distance,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories On the marriage of lp-norms and edit distance,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:35.469185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:30.696643Z digest=sha256:c03a6ff8b3a7b75b7d424b1a25c6957ae5518d1032e1b8052e84af8e5a1276e7

Observation 0f79766e-069f-4afe-902f-38619eda3195 · outbound

This paper cites Contrastive Trajectory Similarity Learning with Dual-Feature Attention,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Contrastive Trajectory Similarity Learning with Dual-Feature Attention,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:35.281821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:30.780369Z digest=sha256:d521e8690f425bd5d724022504db79e1f1cdb0bf5beee3edad5c8d07c72b8ad7

Observation 37497806-7124-401a-81f3-d7b255e7bc31 · outbound

This paper cites A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories A Survey of Distance-Based Vessel Trajectory Clustering: Data Pre-processing, Methodologies, Applications, and Experimental Evaluation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:30.856591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:30.856591Z digest=sha256:c9f62755664f4e35555601cd5c5c7d613666c87dc94a1a771cd1cdbbe4bad55a

Observation cfe26a3c-bbfd-4ba6-a7a5-55e01ee9d96d · outbound

This paper cites Attention is All you Need,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Attention is All you Need,

Reference 17

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:26:32.997970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:30.926019Z digest=sha256:c69bc9527638375a1bae9f89ffe6f6ec67504d50a93b698e47dfe75e5daf29dc

Observation 88538aba-a932-4a00-b6e8-53df717e7a53 · outbound

This paper cites Billion-scale similarity search with GPUs,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Billion-scale similarity search with GPUs,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:35.116301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:31.019676Z digest=sha256:2684d38a61de7b3cc1909344a48a94d7ff49a35d15638dc78097659d543ec523

Observation 0a8c83aa-cfc8-44a4-901b-9edede54909a · outbound

This paper cites Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Spatio-Temporal Trajectory Similarity Measures: A Comprehensive Survey and Quantitative Study

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:31.104077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:31.104077Z digest=sha256:1dbfb330f2acd15a7a5175de1fd6340c9a421fd9dc7da98cac792dc5ddde0515

Observation 6cfd453d-e977-41c1-b21b-d4b601cfa288 · outbound

This paper cites Trajectory clustering: a partition- and-group framework,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Trajectory clustering: a partition- and-group framework,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:34.923417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:31.155240Z digest=sha256:99a8a72e9d42bd01c9515b4ee49d7c500d695fbf7a7c6ce36b4616f545bc040e

Observation 5ed81463-dafe-4bbe-be87-52a54129ceb1 · outbound

This paper cites Learning to Hash for Trajectory Similarity Computation and Search,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Learning to Hash for Trajectory Similarity Computation and Search,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:34.796067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:31.258978Z digest=sha256:6ddf9874b86f492a03e54226fc43330ce17d9b9060f452029d73b00f817c4415

Observation 12dde5f1-4cbc-41ae-a8b3-b83f912b5d9e · outbound

This paper cites Trajgat: A graph-based long-term dependency modeling approach for trajectory similarity computation,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Trajgat: A graph-based long-term dependency modeling approach for trajectory similarity computation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:34.595165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:31.307040Z digest=sha256:d65635344a790129577d8675c0d303523e710b0f21008e43a1f4838487ec67f2

Observation 7fbf2d64-ef28-406f-9af0-a60b5df5b5d7 · outbound

This paper cites Efficient trajectory similarity computation with contrastive learning,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Efficient trajectory similarity computation with contrastive learning,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:34.412029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:31.377383Z digest=sha256:44f0550cf2853c70d41472f94a51616ca7fc273ea37d70fae075bbdffe0e90e4

Observation 47c5a8be-73a6-4992-ab85-4c54dc2fba77 · outbound

This paper cites Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:34.228828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:31.431228Z digest=sha256:37a7808bb5322708ec37b767ee6833f36d0c6b40936153cb8579776d938d4c30

Observation 1be56109-538a-4eb7-8a4c-5ffbba0f01bc · outbound

This paper cites Action-Based Contrastive Learning for Trajectory Prediction,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Action-Based Contrastive Learning for Trajectory Prediction,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:34.113429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:31.470594Z digest=sha256:6d7b7bc18087123b89a172f3133a577b9a130dc32f1e066f44fe2a82e016baf1

Observation b7573c43-397a-4fd9-95a5-360e23f66e18 · outbound

This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:31.523323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:31.523323Z digest=sha256:4fb01230263789ea522e6869dd6a952acb417d9ae2a6e15935d3f525ff850958

Observation 53fbbb7c-96b9-4750-9a5d-c90290b8398e · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:31.580680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:31.580680Z digest=sha256:b608c6089abd0c2d1f874788f3aebc2208c76e3ff97a54406990883de92fb457

Observation 1ad4fd32-e54c-48a0-9285-5d0928d169bf · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Facenet: A unified embedding for face recognition and clustering,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:33.953435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:31.653532Z digest=sha256:b005ef17af5e76d335feecc8df96f596b4002e1d31f8c617003657ea1e570ef3

Observation 0c86f207-cfe0-425b-8c7e-385eb0b8a088 · outbound

This paper cites Supplemental Material for Argoverse 2: Next Generation Datasets for Self-driving Perception and Forecasting.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Supplemental Material for Argoverse 2: Next Generation Datasets for Self-driving Perception and Forecasting

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:33.791225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:31.726381Z digest=sha256:37fd26084da6ebd37eca162fdb4ac0bb1d6a0bd2bd6845393a0133c85f430ea1

Observation f173a8e9-60c0-447b-897d-792b5dc31a66 · outbound

This paper cites Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:31.807364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:31.807364Z digest=sha256:1c4eea8c80534b3457b8eb26eeadda8a9a0338cc3379787ca8751cf1c9b94c52

Observation b72f23f6-9b3d-466f-8bf9-986fbf7471b8 · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Pytorch: An imperative style, high- performance deep learning library,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:33.638276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:31.870316Z digest=sha256:b9268f0077dc55b82d2732aa91889ad816f107a6986ee9137cf726631d4f7cb3

Observation 16d19d5f-10f6-4459-84f6-0de1eb3702a3 · outbound

This paper cites Mixed Precision Training.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Mixed Precision Training

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:31.934098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:31.934098Z digest=sha256:139c1453e6d3e8d686e1ab399a942e006b745349b0e91bb037867f7d665b3055

Observation 9f10d197-735c-4d83-975a-c8d98d14c17e · outbound

This paper cites Learning Sparse Low-Precision Neural Networks With Learnable Regularization.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Learning Sparse Low-Precision Neural Networks With Learnable Regularization

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:26:32.406636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:32.021320Z digest=sha256:81581c574435b256a496e4a6245c550ffd8585437ea0363402f584598a3ec92c

Observation 9347b17a-ff32-4319-9f00-d1a8110f0512 · outbound

This paper cites Visualizing data using t-sne,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Visualizing data using t-sne,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T11:26:32.097688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:26:32.097688Z digest=sha256:95aedea8417e1bc8fb300c9fc724c295164bd3d5b98e91a7e767fd2ee01fb9ed

Observation c9277444-ed1a-4db8-84c6-30bd8ee5a44e · outbound

This paper cites Debiased contrastive learning,.

Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories Debiased contrastive learning,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:26:33.517431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T11:26:32.164257Z digest=sha256:d97e84d7edb9bd4718e56bd161a0aca9f0c2696e80056852ee06647356e6459e

Pith citing papers

Observation 306ba701-d695-4363-b2f6-981c1bf6e3c6 · inbound

Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank cites this paper.

Recall to Predict: Grounding Motion Forecasting in Interpretable Motion Bank Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:46:05.497625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T15:12:20.245550Z digest=sha256:300639fc742978452515c101023419c59ccd20b6fa8f8972e5000bffa77bdb1c

Observation 6002df0c-db53-4fe3-a2bb-9554063e5f76 · inbound

Objective-Behavior Alignment: Diagnostics for MORL Policy Selection cites this paper.

Objective-Behavior Alignment: Diagnostics for MORL Policy Selection Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-06-26T14:39:31.805612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-26T14:34:58.398278Z digest=sha256:abc441f5cb86c37c258858b83aab57cbfe712cf4c86bd58a5e5bddc63e45fbc0