Pith. sign in

Paper Citation Record · LEDGER

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding

As of 19 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2412.02449.

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

pith.paper-citation-record.v1
2412.02449 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:32:13.335331Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63a0e451-30d4-42b3-9d0d-e132025f7735 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collab- oration 0,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collab- oration 0,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:14.042775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.091586Z digest=sha256:9fe99f745b7d72c418d22f1c6072843b5bfc346a3589b505628c8e30c9dcfe60

Observation afbb85dc-c3fe-49f3-9280-cbed1e007a00 · outbound

This paper cites Co-fusion: Real-time segmentation, tracking and fusion of multiple objects,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Co-fusion: Real-time segmentation, tracking and fusion of multiple objects,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:14.028709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.097200Z digest=sha256:7eaf20cadc165ef62f821fe832bd6850e57c565612501d6e88da1f8dbed64619

Observation 2bafc6da-173d-42bc-bca1-b82b6a1dc95f · outbound

This paper cites Dynaslam: Tracking, mapping, and inpainting in dynamic scenes,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Dynaslam: Tracking, mapping, and inpainting in dynamic scenes,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:14.014228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.101886Z digest=sha256:ccb3b927001a3658c93a17cfa85ed2e63c7eff0b5b9a6bccd110e1748bc36f2f

Observation 4041a1b1-148c-456a-9adc-e1c9bd03fdcc · outbound

This paper cites Ds- slam: A semantic visual slam towards dynamic environments,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Ds- slam: A semantic visual slam towards dynamic environments,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.995239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.107071Z digest=sha256:8c0800c47f7d5bca396880ca47160a0d1b765348a30b0bac3f27a23df78169a7

Observation 06b08896-bda0-4fb3-898f-510d254bac47 · outbound

This paper cites Mid-fusion: Octree-based object-level multi-instance dynamic slam,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Mid-fusion: Octree-based object-level multi-instance dynamic slam,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.975796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.113607Z digest=sha256:e9c86989f67b4c0b320a14db2ee3b43dfbecca85156d2d1847f752da96bbd06b

Observation fad1299a-b2be-404e-b5f4-639763bb3f7d · outbound

This paper cites Objects can move: 3d change detection by geometric transformation consistency,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Objects can move: 3d change detection by geometric transformation consistency,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.958781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.119009Z digest=sha256:622e56bcb0eaebf9e7c311d132583781a7aeeb9071a35f3afd8018e7ac5fe2a1

Observation baa06743-5af7-432f-ba5e-fe04883a0139 · outbound

This paper cites Has Anything Changed? 3D Change Detection by 2D Segmentation Masks.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Has Anything Changed? 3D Change Detection by 2D Segmentation Masks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.124596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.124596Z digest=sha256:64b055bbd28438ed5f67eaeedc7f55384e58b6cf6008737bfdac3c699939be04

Observation dab6bfd8-b35d-474c-a6d2-8e3d65be6df2 · outbound

This paper cites Living scenes: Multi- object relocalization and reconstruction in changing 3d environments,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Living scenes: Multi- object relocalization and reconstruction in changing 3d environments,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.943434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.129936Z digest=sha256:e448552fb2cd2a62ab2bd7abb7d35d33611b4e00f908eede29c7f15cf48ecd10

Observation c8204d9f-aa53-44eb-8d88-94009103d94c · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding ShapeNet: An Information-Rich 3D Model Repository

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.135539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.135539Z digest=sha256:8e3fc8f073079b5fba70e1d6c45d37bcc8a61674804fd1dc454e8293e9aef97a

Observation 95318ce9-b0e8-46f7-9690-f0cd3b655e68 · outbound

This paper cites Langsplat: 3d language gaussian splatting,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Langsplat: 3d language gaussian splatting,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.141207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.141207Z digest=sha256:f8a66211acfcadaf83e32942c677039c79ef480dc759cf69f8fac83a670fdf9f

Observation e0b0454d-e12b-4d38-b246-3c26f0c9e016 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding 3d gaussian splatting for real-time radiance field rendering

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.145646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.145646Z digest=sha256:c2e084800a0053301da32de4550fd206827f5051332775451563b2ad8c776572

Observation 765bf078-6c0e-4aeb-8ca6-43bfc85cbba4 · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.149398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.149398Z digest=sha256:74cffd48f8f056d0105b576c0a914560e4d0c06caf0ec715a2c79fc1574376dc

Observation b4ef147f-f76b-4167-8068-9fff7a7537d2 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Learning transferable visual models from natural language supervision,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.155028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.155028Z digest=sha256:d42e66c2f2e84ff645548362c559d25a4a0271b1daa1d1c2e6a971620ec4f4cf

Observation 64a9368a-650a-450b-9338-8de814e76ee6 · outbound

This paper cites Open-vocabulary semantic segmentation with mask-adapted clip,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Open-vocabulary semantic segmentation with mask-adapted clip,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.905656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.161292Z digest=sha256:be796de74501fb47f873a40984a863c663fdcb1aa36b2ce196ede31b58333efa

Observation 2964ff3b-b419-4e5b-8a7f-f98525aaa127 · outbound

This paper cites Scaling open-vocabulary image segmentation with image-level labels,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Scaling open-vocabulary image segmentation with image-level labels,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.165243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.165243Z digest=sha256:bc732e3e4a47d6ca2f18ba0905a4425c0563434873935375b9406e497e74290a

Observation 9ba93c6a-fcb1-44b8-bc81-34b3c4597bbe · outbound

This paper cites Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Lm-nav: Robotic navigation with large pre-trained models of language, vision, and action,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.872160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.169021Z digest=sha256:8b546f06142b02f760a2f358a4672a06dfbb113ff88143bb9ca5098baf65b7db

Observation 439c5779-8b29-4af4-808e-e030dbfa5a60 · outbound

This paper cites Visual language maps for robot navigation,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Visual language maps for robot navigation,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.172919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.172919Z digest=sha256:8aa3d480798d064d8271fc636c196633be998b9106dc228d4493ef430d28a77a

Observation 7b339340-4fee-4882-9d85-da4522d85908 · outbound

This paper cites Concept- graphs: Open-vocabulary 3d scene graphs for perception and planning,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Concept- graphs: Open-vocabulary 3d scene graphs for perception and planning,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.176757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.176757Z digest=sha256:9f1e52fb72d5838036741f06d33fc24e5cf2828f540e2cbb1c77294609999ec5

Observation c420878f-1e81-44f7-bffa-07e870912746 · outbound

This paper cites Audio visual language maps for robot navigation,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Audio visual language maps for robot navigation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.838996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.181350Z digest=sha256:85357ceca0b81382cfe353c7593c73c24f646c0cdbb75733065ac73b09680d9f

Observation 5f718421-d151-4d68-9454-9178d5d56ab0 · outbound

This paper cites Hi- erarchical Open-V ocabulary 3D Scene Graphs for Language-Grounded Robot Navigation,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Hi- erarchical Open-V ocabulary 3D Scene Graphs for Language-Grounded Robot Navigation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.824551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.185580Z digest=sha256:657af22f8b5c6adc9c0f3d8e1e1ae3080ff22b83613deaba43071e53676dcee6

Observation 1809c5eb-8241-4806-872f-262354a83f35 · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.190124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.190124Z digest=sha256:a88e63cc1a51ec7dad8ccac58e53cbffafbf8910d39ea0fb7162e4acfc2d2b4c

Observation 27c8e546-d2c4-4912-9776-e847671b14f6 · outbound

This paper cites Lerf: Language embedded radiance fields,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Lerf: Language embedded radiance fields,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.198215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.198215Z digest=sha256:db19b0c277339199d0d3fb76a1738161a98074fb3592beb0a3c97555a60eb0e9

Observation ffbb8614-d555-41be-b760-3a9ac5c892d8 · outbound

This paper cites Openscene: 3d scene understanding with open vocabularies,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Openscene: 3d scene understanding with open vocabularies,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.203121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.203121Z digest=sha256:be98e5defe7cc339d238749ac1861b85d497d9941a072062a8c70455e0506619

Observation e9d7eacb-eab9-4702-8d6e-b11e84d5a383 · outbound

This paper cites Conceptfusion: Open-set multimodal 3d mapping,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Conceptfusion: Open-set multimodal 3d mapping,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.786631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.207483Z digest=sha256:41d63181d944b921dcbe468f5ad8e06f940b83cae62f6ccaab26d579d36ae28b

Observation 35be9845-8a8a-401e-9e63-a95bde7f0300 · outbound

This paper cites OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.771773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.213484Z digest=sha256:15f0da918b58be03c8883ef58d644480b7c386b1b80552e6470bb423ce6440dd

Observation a559fa3c-4d48-4c84-82c1-4466433814ee · outbound

This paper cites Garfield: Group anything with radiance fields,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Garfield: Group anything with radiance fields,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.756850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.218672Z digest=sha256:1a838a217e78b7901e2abf949795cbcfb2b5d15f0a4d02dd8f90d8bdb748f901

Observation 1eb93b9d-673a-4385-89d9-b9ef689370ba · outbound

This paper cites Fusion++: V olumetric object-level slam,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Fusion++: V olumetric object-level slam,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.224044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.224044Z digest=sha256:fb1a8945df0809340d278a6c07e9eaa869792afb1d18f17f2797494b1e8459d6

Observation 57a668ed-5bcb-497d-8841-4c8dcf87b078 · outbound

This paper cites Flowfusion: Dynamic dense rgb-d slam based on optical flow,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Flowfusion: Dynamic dense rgb-d slam based on optical flow,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.731802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.230270Z digest=sha256:4d8a96441ece7bfc21eebdf710d5b6b9bbeeef5a80a9837827fe5f22faf3051a

Observation 3df8035b-8b58-4d7b-885c-4d5ddc6b8f35 · outbound

This paper cites Dynamicfusion: Recon- struction and tracking of non-rigid scenes in real-time,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Dynamicfusion: Recon- struction and tracking of non-rigid scenes in real-time,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.238230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.238230Z digest=sha256:b33e6e35d58bc4dd0f1b2c8806b891ab2d4cd88f49b20b79891340ba6a145ae7

Observation a3a27249-7698-4e33-95df-305aed749121 · outbound

This paper cites Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.243246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.243246Z digest=sha256:ce12135bd928ee415288fe0987e64fbcc5a8018a3cf6fc69f989795003115855

Observation 99faa44f-af0f-415f-84f8-bb2e6d464044 · outbound

This paper cites Phys- gaussian: Physics-integrated 3d gaussians for generative dynamics,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Phys- gaussian: Physics-integrated 3d gaussians for generative dynamics,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.248309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.248309Z digest=sha256:96bc5a60ed4f5caa53d12dfa1e765d0bc64a924273cbe6480db42e4c79318f15

Observation 30ac95d4-47d0-411c-836c-319fa030d368 · outbound

This paper cites Robust change detection based on neural descriptor fields,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Robust change detection based on neural descriptor fields,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.702193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.253625Z digest=sha256:e36a1dfe7e30f3ba0ccb262528c7414233f0f5a6aaa518b4d13e9c5203a848c5

Observation cfb1d430-e2f6-4a68-a7e8-1adc6cb44f67 · outbound

This paper cites Indoor scene change captioning based on multimodality data,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Indoor scene change captioning based on multimodality data,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.688263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.258817Z digest=sha256:4efd4d792dacebe3799ff638f8ee6a4843daac59b05b461506faa9aa94aa0015

Observation ac1a302f-09cc-4f36-bdde-e710e62249bc · outbound

This paper cites 3d vsg: Long-term semantic scene change prediction through 3d variable scene graphs,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding 3d vsg: Long-term semantic scene change prediction through 3d variable scene graphs,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.673705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.263167Z digest=sha256:e7c9035691da5194e2defa85c5bf0d36c12b364f14f576cbb784b843468281d7

Observation 3b5d5cd5-89d5-46ed-8c56-db09ad8b336f · outbound

This paper cites Khronos: A unified approach for spatio-temporal metric-semantic slam in dynamic envi- ronments,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Khronos: A unified approach for spatio-temporal metric-semantic slam in dynamic envi- ronments,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.656947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.267297Z digest=sha256:b33ef4d68884ab4598ce2d05aa065045f76a48a51f9baae1aca4be2b73a91eb3

Observation 86aac150-5a4f-4280-935f-7571f66c5d2a · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.271806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.271806Z digest=sha256:4d05f0566bf2efc6620a1216f539158f28e39b09d09ada6bd2028d249cc14dbc

Observation 017a2e74-7a4f-4eac-b1d2-5900b581b3c7 · outbound

This paper cites Dynamic graph cnn for learning on point clouds,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Dynamic graph cnn for learning on point clouds,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.276592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.276592Z digest=sha256:38236528b3ab29a2579f3f410dd83fce0b1803d080e389d3136e61aff75bfd60

Observation 805449d7-21ae-427c-a8f8-b75971ffc70b · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape rep- resentation,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Deepsdf: Learning continuous signed distance functions for shape rep- resentation,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.281329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.281329Z digest=sha256:8c67ae1a3c2de86f525ec02e3e2790d6c3d5d0831e6fafb25a5b59db0a89639c

Observation 00e35557-44b7-4be1-bc62-9e8456937ac3 · outbound

This paper cites Learning implicit fields for generative shape modeling,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Learning implicit fields for generative shape modeling,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.616317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.285586Z digest=sha256:9ca0bbf5233ca9abb6f0e323c3e6ff719c297db644cb709b9596fc3a0f41b3b2

Observation 9f396d5b-17b1-41d4-bd96-269a688417fb · outbound

This paper cites Coarse- to-fine point cloud registration with se (3)-equivariant representations,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Coarse- to-fine point cloud registration with se (3)-equivariant representations,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.600121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.290295Z digest=sha256:a44a9366a10afe9d284340ec31d52737c000eba41da349e24374b70dfc20672d

Observation a805f033-bb08-4c43-9c22-e21667bf83c8 · outbound

This paper cites Neural descriptor fields: Se (3)-equivariant object representations for manipulation,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Neural descriptor fields: Se (3)-equivariant object representations for manipulation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.585060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.294483Z digest=sha256:d9423004d7eb93350329ab41f83cbd5353aa3ba9da7391064ee6b535fddb31dc

Observation cc8d1dbe-e030-4d07-b69c-f329d434b359 · outbound

This paper cites Neuse: Neural se (3)-equivariant embedding for consistent spatial understanding with objects,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Neuse: Neural se (3)-equivariant embedding for consistent spatial understanding with objects,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.565279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.298642Z digest=sha256:e4c635687b0d90d58a790d1340b7bb09b9fbc5051259105d03f4ee8ff72d4411

Observation e040f418-5466-4e8a-9444-d62b381760c6 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding A simple framework for contrastive learning of visual representations,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.302483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.302483Z digest=sha256:6a7c0434e3c63c1fdf90ace41be03bf5f446ca1eeecb51cb6a2ba62ee707a27a

Observation 31892ba7-4f42-4f00-b6a1-b4aba30e6771 · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.306948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.306948Z digest=sha256:70b7a433be09bebdf7ba0751616e7439b7e9770a75ac73e93d37913c96f7f692

Observation 31df61c9-33d7-4071-8aa2-b9248b3a08e8 · outbound

This paper cites Improved deep metric learning with multi-class n-pair loss objective,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Improved deep metric learning with multi-class n-pair loss objective,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.312140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.312140Z digest=sha256:f3efdead115ef532ec8fa9369dc4c38c242f78708d4aa1d1c95b7448c30708c1

Observation cfc74011-9cce-473f-a1d9-cfd2579ac7e7 · outbound

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

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding DINOv2: Learning Robust Visual Features without Supervision

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.316162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.316162Z digest=sha256:b939dd4a29483976ca2f804eae53100bdc27e897b16404f268d0316fba81a8c5

Observation 82d38ed5-c79e-4e1c-b881-c8682508ee9c · outbound

This paper cites Language-driven semantic segmentation,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Language-driven semantic segmentation,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.517764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.320757Z digest=sha256:a47c76cfaf60a50b88cf68112019fbd31a82ab970256e177a96c028ae37d965f

Observation a495c29a-5fbb-479c-a495-cd86c22a580d · outbound

This paper cites Density-based spatial clustering of applications with noise,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Density-based spatial clustering of applications with noise,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:32:13.502212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T23:32:13.325424Z digest=sha256:42bf327339d28c74eff10c6913e30ebbfb5606b6d6b80e5084856981e34cf0c3

Observation 883dd30c-8aa9-4974-8b2d-2f21b063900e · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding SAM 2: Segment Anything in Images and Videos

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.329892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.329892Z digest=sha256:1dcfe54eedbfd9edd2c840222268a82b1ee7a7dabfa709528fa423876d45dd5e

Observation 8a4c5cc3-b724-4fda-a323-f41d9b9fe4c8 · outbound

This paper cites Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,.

BYE: Build Your Encoder with One Sequence of Exploration Data for Long-Term Dynamic Scene Understanding Droid-slam: Deep visual slam for monocular, stereo, and rgb-d cameras,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T23:32:13.335331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:32:13.335331Z digest=sha256:1a3abde9ec4204fcdabb456817cce6ab3253f54d4ec8a0837364313c0aeda680

Pith citing papers

No inbound Pith citation observations are available.