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Paper Citation Record · LEDGER

Unique Lives, Shared World: Learning from Single-Life Videos

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2512.04085.

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

pith.paper-citation-record.v1
2512.04085 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:43:48.452812Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:49:58.824241Z

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 exact0
  • verified fuzzy0
  • unresolved47
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch0

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Outbound references

Observation d0f71884-f2f3-45f8-92b9-84c6650352e1 · outbound

This paper cites GPT-4 Technical Report.

Unique Lives, Shared World: Learning from Single-Life Videos GPT-4 Technical Report

Reference 1

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Observation b0e0356e-481e-43f4-b05d-654ba05a840d · outbound

This paper cites Cross-view completion models are zero-shot correspondence estimators.

Unique Lives, Shared World: Learning from Single-Life Videos Cross-view completion models are zero-shot correspondence estimators

Reference 2

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Observation e9be2665-004d-41a1-97e3-80ece0b92599 · outbound

This paper cites Anonymous lives dataset - a private dataset.

Unique Lives, Shared World: Learning from Single-Life Videos Anonymous lives dataset - a private dataset

Reference 3

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source=pdf_text observed=2026-08-03T18:43:43.057083Z digest=sha256:4ceeeab34bc87bf379cf9f1abf4675d93ae6f06b4a50e34ef623e75e69e73024

Observation 2345a7ba-8277-4c94-bd4b-2d461cd01700 · outbound

This paper cites Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors.

Unique Lives, Shared World: Learning from Single-Life Videos Hpatches: A benchmark and evaluation of handcrafted and learned local descriptors

Reference 4

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Observation 1e076b5f-6cb3-47c4-847a-b4bfd6569704 · outbound

This paper cites Revis- iting model stitching to compare neural representations.

Unique Lives, Shared World: Learning from Single-Life Videos Revis- iting model stitching to compare neural representations

Reference 5

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source=pdf_text observed=2026-08-03T18:43:43.343526Z digest=sha256:d9a63abe2ecb1ad00b1345abcc6eb21c9893c87fa07bf428bc324a623de836a9

Observation 0f6644c6-34e0-4167-a825-707b40c89189 · outbound

This paper cites JAX: composable transformations of Python+NumPy programs, 2018.

Unique Lives, Shared World: Learning from Single-Life Videos JAX: composable transformations of Python+NumPy programs, 2018

Reference 6

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Observation b38649bd-72f1-4353-8d6a-7c3454b70b61 · outbound

This paper cites Scaling 4D Representations.

Unique Lives, Shared World: Learning from Single-Life Videos Scaling 4D Representations

Reference 7

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source=pdf_text observed=2026-08-03T18:43:43.563351Z digest=sha256:34d9a6dc8f1d031c14be01e03ad30d383049fd7a59760784a0e55a76c6a82ecc

Observation cebf9dcd-facd-4f96-8752-bcdee61a0f42 · outbound

This paper cites Learning from one continuous video stream.

Unique Lives, Shared World: Learning from Single-Life Videos Learning from one continuous video stream

Reference 8

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source=pdf_text observed=2026-08-03T18:43:43.697566Z digest=sha256:b835ee549cb05ffe2915257842011c80bb77afa41fb8943e11ed2e3d9551d925

Observation ea419e8d-713e-4162-85f1-1bdaa8aa51c6 · outbound

This paper cites Multidimensional scal- ing.Measurement, judgment and decision making, pages 179–250, 1998.

Unique Lives, Shared World: Learning from Single-Life Videos Multidimensional scal- ing.Measurement, judgment and decision making, pages 179–250, 1998

Reference 9

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Observation 0d3a55bf-52c6-448e-b3fe-f64ba782dc9f · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

Unique Lives, Shared World: Learning from Single-Life Videos Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 10

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source=pdf_text observed=2026-08-03T18:43:43.870676Z digest=sha256:1e426283f603a8e2f02b677dc93226b11721b52efebb0fd4feecf8dce2cdc105

Observation 8efb2bb3-a2b4-4e3f-94f3-9f4e4771c1ca · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Unique Lives, Shared World: Learning from Single-Life Videos Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 11

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Observation 15290a38-33d0-46fe-8282-ccd670e8f7f3 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

Unique Lives, Shared World: Learning from Single-Life Videos Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 12

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source=pdf_text observed=2026-08-03T18:43:44.041736Z digest=sha256:8a8eded4034166ee2864dacbcb5fd4e0a34119d8d983bba6c570f4e9c94cd89b

Observation 2bd1dc4c-28a4-4898-bc3b-41aa6fb89f53 · outbound

This paper cites Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.IJCV, 130: 33–55, 2022.

Unique Lives, Shared World: Learning from Single-Life Videos Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.IJCV, 130: 33–55, 2022

Reference 13

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Observation 3c1825e6-fe21-436a-95d9-875ca8a5522c · outbound

This paper cites Depthcues: Evaluating monoc- ular depth perception in large vision models.

Unique Lives, Shared World: Learning from Single-Life Videos Depthcues: Evaluating monoc- ular depth perception in large vision models

Reference 14

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Observation 8a784ceb-68d4-401b-b3fe-14c47fc8f673 · outbound

This paper cites Project aria: A new tool for egocentric multi- modal ai research, 2023.

Unique Lives, Shared World: Learning from Single-Life Videos Project aria: A new tool for egocentric multi- modal ai research, 2023

Reference 15

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Observation 345b8eff-b409-4689-824a-713f80c8c5f2 · outbound

This paper cites Ego4d: Around the World in 3,000 Hours of Egocentric Video.

Unique Lives, Shared World: Learning from Single-Life Videos Ego4d: Around the World in 3,000 Hours of Egocentric Video

Reference 16

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Observation 3d4e05e7-6dd2-4359-82bf-b549c552dffd · outbound

This paper cites Siamese masked autoencoders.

Unique Lives, Shared World: Learning from Single-Life Videos Siamese masked autoencoders

Reference 17

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source=pdf_text observed=2026-08-03T18:43:44.636196Z digest=sha256:b45c6c1c9c65fbc86a1343542cf23037f60b0334269960a541df86ebb1e47884

Observation bff055b0-3124-4ee5-800d-421ebf6fa16c · outbound

This paper cites Learning from streaming video with orthogonal gradients.

Unique Lives, Shared World: Learning from Single-Life Videos Learning from streaming video with orthogonal gradients

Reference 18

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source=pdf_text observed=2026-08-03T18:43:44.752914Z digest=sha256:aa50d58b3bcd701e0e1ab85eb43155046f760d48a93ce8909d2c6634a04efb68

Observation 3c2612e7-4568-44b5-b85e-f9ae19604444 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Unique Lives, Shared World: Learning from Single-Life Videos Masked autoencoders are scalable vision learners

Reference 19

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Observation d0a18343-580e-4cd3-b99e-2240788a5706 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Unique Lives, Shared World: Learning from Single-Life Videos Masked autoencoders are scalable vision learners

Reference 20

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Observation bbb50894-4253-4d50-81ed-63ccde9bdd94 · outbound

This paper cites The Platonic Representation Hypothesis.

Unique Lives, Shared World: Learning from Single-Life Videos The Platonic Representation Hypothesis

Reference 21

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Observation dd45bd5a-dd67-4f94-897e-d9b820dd2445 · outbound

This paper cites Space-time correspondence as a contrastive random walk.

Unique Lives, Shared World: Learning from Single-Life Videos Space-time correspondence as a contrastive random walk

Reference 22

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Observation e0e2176b-3a79-4a33-a8af-345c30cd1986 · outbound

This paper cites Harnessing the universal geometry of embeddings.arXiv preprint arXiv:2505.12540, 2025.

Unique Lives, Shared World: Learning from Single-Life Videos Harnessing the universal geometry of embeddings.arXiv preprint arXiv:2505.12540, 2025

Reference 23

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Observation 7a7dcb8e-061c-499c-ae8b-53ea6a8e57fc · outbound

This paper cites The Kinetics Human Action Video Dataset.

Unique Lives, Shared World: Learning from Single-Life Videos The Kinetics Human Action Video Dataset

Reference 24

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Observation cd5c822c-65c9-42d1-a76f-e03254b74426 · outbound

This paper cites Similarity of neural network representa- tions revisited.

Unique Lives, Shared World: Learning from Single-Life Videos Similarity of neural network representa- tions revisited

Reference 25

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source=pdf_text observed=2026-08-03T18:43:45.557725Z digest=sha256:53825ae78cbe81ee27fa7fe7cecb416fa5f0a986f014d2235bdebb17711ef7b3

Observation e75bcb48-0fba-48bd-87d3-3df781f908bd · outbound

This paper cites Decoupled Weight Decay Regularization.

Unique Lives, Shared World: Learning from Single-Life Videos Decoupled Weight Decay Regularization

Reference 26

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Observation c771b4e1-7b6f-40dd-bd4d-69d6af4c22ad · outbound

This paper cites Egoloc: Revisiting 3d object local- ization from egocentric videos with visual queries.

Unique Lives, Shared World: Learning from Single-Life Videos Egoloc: Revisiting 3d object local- ization from egocentric videos with visual queries

Reference 27

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Observation 90259259-6b4e-42e2-b1b2-3db7857a0347 · outbound

This paper cites Do vision and language encoders represent the world similarly? InCVPR, pages 14334–14343, 2024.

Unique Lives, Shared World: Learning from Single-Life Videos Do vision and language encoders represent the world similarly? InCVPR, pages 14334–14343, 2024

Reference 28

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Observation 8c62fc1d-9ab1-4878-b1ca-97a9cb2521de · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Unique Lives, Shared World: Learning from Single-Life Videos DINOv2: Learning Robust Visual Features without Supervision

Reference 29

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Observation 8d4b319d-d7b9-4357-94b7-78d3b3050ac9 · outbound

This paper cites Hd-epic: A highly-detailed egocentric video dataset.

Unique Lives, Shared World: Learning from Single-Life Videos Hd-epic: A highly-detailed egocentric video dataset

Reference 30

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Observation a64c078b-b297-478a-b2c0-97afc9406d0b · outbound

This paper cites The 2017 DAVIS Challenge on Video Object Segmentation.

Unique Lives, Shared World: Learning from Single-Life Videos The 2017 DAVIS Challenge on Video Object Segmentation

Reference 31

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Observation 38116f7f-9000-46ec-a9b9-9fb5a053505c · outbound

This paper cites Vi- sion transformers for dense prediction.

Unique Lives, Shared World: Learning from Single-Life Videos Vi- sion transformers for dense prediction

Reference 32

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Observation f228106f-4937-4929-a836-0d7420e05a5f · outbound

This paper cites It’s a (blind) match! towards vision-language correspon- dence without parallel data.

Unique Lives, Shared World: Learning from Single-Life Videos It’s a (blind) match! towards vision-language correspon- dence without parallel data

Reference 33

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Observation 95cac456-d049-4a6f-8825-cfbed178b8fd · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

Unique Lives, Shared World: Learning from Single-Life Videos Indoor segmentation and support inference from rgbd images

Reference 34

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Observation ee81fe1d-9fbc-4c8e-9a60-79a36c7c50f9 · outbound

This paper cites an unresolved cited work.

Unique Lives, Shared World: Learning from Single-Life Videos Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-03T18:43:46.724155Z digest=sha256:7eb8dd982beb1e2806efa4bd6c72cb9cf697f3c7487d9743364cc18a932e4324

Observation ae6a3812-6b19-46c7-b35e-d125de2ccbe2 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow, 2020.

Unique Lives, Shared World: Learning from Single-Life Videos Raft: Recurrent all-pairs field transforms for optical flow, 2020

Reference 36

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Observation 0b11eb7f-38f9-4e8d-b97d-0ccb776346f8 · outbound

This paper cites Understanding the Emergence of Multimodal Representation Alignment.

Unique Lives, Shared World: Learning from Single-Life Videos Understanding the Emergence of Multimodal Representation Alignment

Reference 37

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source=pdf_text observed=2026-08-03T18:43:47.010177Z digest=sha256:71b36ba9469d3ac4d22bb1e3d13b845b9db9550c04652bf865bc68a4de7762b4

Observation 0e52d83a-1086-45c3-b0df-5b534970b4af · outbound

This paper cites VideoMAE: Masked autoencoders are data-efficient learners for self-supervised video pre-training.

Unique Lives, Shared World: Learning from Single-Life Videos VideoMAE: Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 38

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Observation c5e628e1-be0c-4f0c-a354-902f0db8c435 · outbound

This paper cites EPIC Fields: Marrying 3D Geometry and Video Understanding.

Unique Lives, Shared World: Learning from Single-Life Videos EPIC Fields: Marrying 3D Geometry and Video Understanding

Reference 39

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Observation 817f61fe-51af-4f6a-a3f0-523fcf6943d3 · outbound

This paper cites Is ImageNet worth 1 video? learning strong image encoders from 1 long unlabelled video.

Unique Lives, Shared World: Learning from Single-Life Videos Is ImageNet worth 1 video? learning strong image encoders from 1 long unlabelled video

Reference 40

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Observation bbfff031-e699-440d-b3bc-d430ca9de95a · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

Unique Lives, Shared World: Learning from Single-Life Videos Dust3r: Geometric 3d vi- sion made easy

Reference 41

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Observation 9cf923c1-1fdc-4664-88aa-b1c28fdb196f · outbound

This paper cites Croco: Self-supervised pre-training for 3d vision tasks by cross-view completion.

Unique Lives, Shared World: Learning from Single-Life Videos Croco: Self-supervised pre-training for 3d vision tasks by cross-view completion

Reference 42

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Observation 85cca23e-31a8-471d-99d5-4b3d2084baf9 · outbound

This paper cites Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow.

Unique Lives, Shared World: Learning from Single-Life Videos Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow

Reference 43

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Observation 855413cd-ec50-497a-88fb-fff89b001534 · outbound

This paper cites Qwen3-Omni Technical Report.

Unique Lives, Shared World: Learning from Single-Life Videos Qwen3-Omni Technical Report

Reference 44

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source=pdf_text observed=2026-08-03T18:43:47.983776Z digest=sha256:316638d8c66d65469c34860473fbe94e84c0b8530d5c7a59a41698f2ffa1ca08

Observation c2c01370-3153-4360-8b3e-1089b2725883 · outbound

This paper cites Learn- ing streaming video representation via multitask training.

Unique Lives, Shared World: Learning from Single-Life Videos Learn- ing streaming video representation via multitask training

Reference 45

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source=pdf_text observed=2026-08-03T18:43:48.086198Z digest=sha256:3eaca106616fbe8ed2b1ca0e05a1e9115f19c43ac50035a1ce069677e4319f8d

Observation 1352ab2b-c073-46fb-a9c9-eeedcc706f86 · outbound

This paper cites Depth any- thing v2, 2024.

Unique Lives, Shared World: Learning from Single-Life Videos Depth any- thing v2, 2024

Reference 46

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source=pdf_text observed=2026-08-03T18:43:48.192255Z digest=sha256:cd8aa7097c6fe5296f097db290b370bf60f6d9955cd997bcff31a7ef31cb1ce0

Observation ab289efd-c97a-4002-877b-3310a670425d · outbound

This paper cites Assess- ing and learning alignment of unimodal vision and language models.

Unique Lives, Shared World: Learning from Single-Life Videos Assess- ing and learning alignment of unimodal vision and language models

Reference 47

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:43:48.317953Z digest=sha256:f5fac57d14266b86e1d1f15f781139326e439b323d638c72525a93bf308692e5

Observation a6f744ba-c303-405e-9799-401841590eb2 · outbound

This paper cites non-life.

Unique Lives, Shared World: Learning from Single-Life Videos non-life

Reference 48

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Source-reported events for the cited work

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Observation c2c61063-88b5-44b0-b7bc-f8132d54fea1 · outbound

This paper cites an unresolved cited work.

Unique Lives, Shared World: Learning from Single-Life Videos Unresolved cited work

Reference 2022

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source=pdf_text observed=2026-08-03T18:43:47.657177Z digest=sha256:5402068aa62079813854e5338dd0cf2170818be3e5bcae955bb122872f4beddc

Pith citing papers

Observation 78791446-e291-4a38-bbda-d49a52715330 · inbound

SeeSE3: Emergence of 3D Space in Vision Features cites this paper.

SeeSE3: Emergence of 3D Space in Vision Features Unique Lives, Shared World: Learning from Single-Life Videos

Reference 71

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