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Paper Citation Record · LEDGER

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2507.15782.

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

pith.paper-citation-record.v1
2507.15782 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:28:56.982091Z

measured 32 of 32 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:24:02.843529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:16:13.663267Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3cf026bf-c4ac-42e7-8919-0afc146e18a5 · outbound

This paper cites Navigating to objects in the real world,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Navigating to objects in the real world,

Reference 1

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unresolved
no resolver link, observed 2026-08-06T15:28:54.742266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:54.742266Z digest=sha256:047e88059cfeb9abdab8b3f149c43f08267ce14446e96a3919a54c7f29f266c6

Observation a3d203cb-425f-4a98-9224-4ff8652c189c · outbound

This paper cites Tidybot: Personalized robot assistance with large language models,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Tidybot: Personalized robot assistance with large language models,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T15:29:00.008043Z

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.

source=pdf_text observed=2026-08-06T15:28:54.812989Z digest=sha256:c6648377095b22d969662e3e0d6243706272638d664366ce7f2a3ffb7cac416a

Observation c013c233-0c88-4f09-b447-62a444f0fe6b · outbound

This paper cites Integrated task and motion planning,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Integrated task and motion planning,

Reference 3

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raw_fallback, observed 2026-08-06T15:28:59.902742Z

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.

source=pdf_text observed=2026-08-06T15:28:54.885681Z digest=sha256:88c546778ce575e4820e32f5006a9a4f0958fab9fb6f004377e33f7c903ce4a0

Observation 7034e94c-baf3-4d14-bbca-5273637de2c3 · outbound

This paper cites Sequential manipulation planning on scene graph,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Sequential manipulation planning on scene graph,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T15:28:59.766385Z

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.

source=pdf_text observed=2026-08-06T15:28:54.934034Z digest=sha256:c69274dbbea130ec90f8a661d5c98c9e81d6359374d40bf987a57ca989aaff18

Observation e27399ec-c393-4da4-837d-875071c31d33 · outbound

This paper cites Hierarchical planning for long-horizon manipulation with geometric and symbolic scene graphs,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Hierarchical planning for long-horizon manipulation with geometric and symbolic scene graphs,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:59.620970Z

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.

source=pdf_text observed=2026-08-06T15:28:54.997225Z digest=sha256:ef5190265eecad302edffafc00c886edf9ef4faf59f3b63631cfe24ed14c0020

Observation 169937ac-1255-4882-92bc-2b06e5e11136 · outbound

This paper cites Task and Motion Planning in Hierarchical 3D Scene Graphs.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Task and Motion Planning in Hierarchical 3D Scene Graphs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T15:28:55.087865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:55.087865Z digest=sha256:95a88be3bc80cde401611811725621c49a4748c9a2f2e7aaca068857a81e5e94

Observation 26eaf7ec-d3b1-44a3-8802-933c018427d6 · outbound

This paper cites Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T15:28:59.459977Z

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.

source=pdf_text observed=2026-08-06T15:28:55.197863Z digest=sha256:317e6e7290e00f2bc42d4a2d4e6babf82b042c4d1a1832b1e15f18c7ab434840

Observation 65a4156b-4954-4aa7-9626-b7ad89f52f91 · outbound

This paper cites Saynav: Grounding large language models for dynamic planning to navigation in new environments,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Saynav: Grounding large language models for dynamic planning to navigation in new environments,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:59.334669Z

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.

source=pdf_text observed=2026-08-06T15:28:55.252677Z digest=sha256:f27944854220f0086316b5e4ab4202f11a567842542780b835e776a82490d151

Observation c9225bd4-e8bf-4ab1-885c-3d56258d830f · outbound

This paper cites Progprompt: Generating situated robot task plans using large language models,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Progprompt: Generating situated robot task plans using large language models,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:59.113835Z

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.

source=pdf_text observed=2026-08-06T15:28:55.323612Z digest=sha256:eec875594c2176e293969773bdc5959e061a997a8337c2154e654620e778988a

Observation 6c73c26e-77ce-46a3-901c-47591a0317c3 · outbound

This paper cites Large language models still can’t plan (a benchmark for llms on planning and reasoning about change),.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Large language models still can’t plan (a benchmark for llms on planning and reasoning about change),

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T15:28:58.978295Z

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.

source=pdf_text observed=2026-08-06T15:28:55.381614Z digest=sha256:9f3e9819b06b7cc4a519772ce47bc3a17aa7596af6922a23d5c0eb99240d348a

Observation 5f386b07-aa14-4abd-ac9c-b1c90a2f85e5 · outbound

This paper cites HomeRobot: Open-Vocabulary Mobile Manipulation.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs HomeRobot: Open-Vocabulary Mobile Manipulation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:28:55.441498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:55.441498Z digest=sha256:61a2062c44852df9dfa92e81328575af02a3f1f73e2e89b78fe197d6e81d2726

Observation 00d52add-c51d-433e-92e1-bda3038f31dd · outbound

This paper cites Language-grounded dynamic scene graphs for interactive object search with mobile manipulation,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Language-grounded dynamic scene graphs for interactive object search with mobile manipulation,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:58.859602Z

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.

source=pdf_text observed=2026-08-06T15:28:55.506307Z digest=sha256:8498f596b82a350652324bbb545331376aa00237756d268007c76bc4f0f577e9

Observation 74632f4c-103a-4e19-bf8b-7aef9e3c93a8 · outbound

This paper cites Oceanplan: Hierarchical planning and replanning for natural language auv piloting in large-scale unex- plored ocean environments,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Oceanplan: Hierarchical planning and replanning for natural language auv piloting in large-scale unex- plored ocean environments,

Reference 13

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raw_fallback, observed 2026-08-06T15:28:58.711619Z

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.

source=pdf_text observed=2026-08-06T15:28:55.559107Z digest=sha256:b813dec3ff5e21e4d98a03f4e97717186406e85d4fd4d07f41559656a7db3115

Observation a3b62535-2021-4213-8f76-845239c9a72b · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Chain-of-thought prompting elicits reasoning in large language models,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:28:55.688995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:55.688995Z digest=sha256:9ec8d74846ee8e1792bb40d328ef438791a336d1d19b5cb6ff322042d456d97f

Observation 3fa0f6fc-a2d0-4db9-884c-c81a1dabfe1d · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:58.571580Z

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.

source=pdf_text observed=2026-08-06T15:28:55.808060Z digest=sha256:01fad2c4e2bc9d23857022b2c0a7ef0a4eaf39fa5599888ef0818455e809fd28

Observation 7e7fb2c2-612a-4cb8-a32f-491cc9c78b05 · outbound

This paper cites Chameleon: Plug-and-play compositional reasoning with large language models,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Chameleon: Plug-and-play compositional reasoning with large language models,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:58.459465Z

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.

source=pdf_text observed=2026-08-06T15:28:55.929600Z digest=sha256:ca0d1bb89d20467de6d23eefcab93a7a53147e37005f83f93459bd9361fb3b79

Observation 1417c0df-46d4-4e7a-9b1c-abb9549c101c · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Reasoning with Language Model is Planning with World Model

Reference 17

Resolution
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no resolver link, observed 2026-08-06T15:28:56.036319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:56.036319Z digest=sha256:05e69d150a8b8c3bc76d60e36161b0963349c1afe1b52a35738dc159e829548a

Observation e103dee5-58c4-45f8-84e5-4687fda7cf7d · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Tree of thoughts: Deliberate problem solving with large language models,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:58.304216Z

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.

source=pdf_text observed=2026-08-06T15:28:56.081881Z digest=sha256:105e351664dbe98b80563d3ab720bc049d7e0e7e3e8f86f8bbc3d9af64c5685e

Observation c2c48285-aa6d-4ae7-98a1-701c3e8ed95e · outbound

This paper cites An interleaved algorithm for integration of robotic task and motion planning,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs An interleaved algorithm for integration of robotic task and motion planning,

Reference 19

Resolution
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raw_fallback, observed 2026-08-06T15:28:58.179631Z

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.

source=pdf_text observed=2026-08-06T15:28:56.129728Z digest=sha256:1e4d0807bc60e754405098dd535d5faef381891f816d4a0a6ba37dbd57a6d441

Observation 220e3bab-8d22-4abf-ac23-9c02dbf2b409 · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 20

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no resolver link, observed 2026-08-06T15:28:56.204501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:56.204501Z digest=sha256:ebd0fc007fd303d4121f5a4ba3000413dd0b0863d010791c29b4b713e90a5656

Observation 53196ca2-a249-447a-b66d-aaf2b5a80f1a · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 21

Resolution
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no resolver link, observed 2026-08-06T15:28:56.301216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:56.301216Z digest=sha256:f863eb4872efbca36bfc738dc23c316beb9d041a02d2863aaa5333e962b83c70

Observation 0fda5441-454f-453e-870f-2bdadc092b54 · outbound

This paper cites ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Reference 22

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no resolver link, observed 2026-08-06T15:28:56.369231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:56.369231Z digest=sha256:48ab01da8d9c83cf64c7917e1b4d197361618b94c6b2cbc41d91eb20babc6bd5

Observation 3c5958ff-a186-4a60-82bb-47e8d84631a3 · outbound

This paper cites Esc: Exploration with soft commonsense constraints for zero-shot object navigation,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Esc: Exploration with soft commonsense constraints for zero-shot object navigation,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:28:56.435395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:56.435395Z digest=sha256:3f2f161aeabf12537c904f2c8b4eaeefe828a2f84fbef56f0a229cb4a017862c

Observation d27cb9f2-506f-46d8-ab2e-b744ed018e83 · outbound

This paper cites Learning long-horizon robot exploration strategies for multi-object search in continuous action spaces,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Learning long-horizon robot exploration strategies for multi-object search in continuous action spaces,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:57.959979Z

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.

source=pdf_text observed=2026-08-06T15:28:56.526837Z digest=sha256:e76ce5cdc5bdaad40d3ee030881321d279531b346049697df70d368f0ac4a66f

Observation b667b871-1c7d-464a-8435-69403be138fe · outbound

This paper cites Learning hierarchical interactive multi-object search for mobile manipulation,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Learning hierarchical interactive multi-object search for mobile manipulation,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:57.841342Z

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.

source=pdf_text observed=2026-08-06T15:28:56.587263Z digest=sha256:0113dae7fd878cb71bd06490b4b6905bbe10342cd0791f3be2b36016105ee6e3

Observation 5f228c75-90b0-4e48-9ba0-ffb56a67cd4d · outbound

This paper cites A system for generalized 3d multi- object search,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs A system for generalized 3d multi- object search,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:57.731474Z

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.

source=pdf_text observed=2026-08-06T15:28:56.667744Z digest=sha256:26118f74d5e40805902bf6500674161406952505ec3d0129ceab5ea7f702644e

Observation a01fcf86-e51e-458c-be8f-43ba620ee842 · outbound

This paper cites 3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs 3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T15:28:56.770167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:56.770167Z digest=sha256:1539f6d96cbc512591d612bde79eee5373652ad91cc9d6a5ff17f037d09cf420

Observation ed310f3f-714c-4b4b-9a5e-2645e6ad4746 · outbound

This paper cites Pddl— the planning domain definition language,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Pddl— the planning domain definition language,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:57.586053Z

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.

source=pdf_text observed=2026-08-06T15:28:56.815257Z digest=sha256:0d3d890ae971b0972670e452b577b80895658ddc7ac74a570a2260da7ddb335c

Observation c085c3b9-bc86-453e-ae80-19fc956139c6 · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Do as i can, not as i say: Grounding language in robotic affordances,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:57.438641Z

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.

source=pdf_text observed=2026-08-06T15:28:56.874759Z digest=sha256:d22933776dd1303e88d5c51e35c654c00df7853bf51e66b16509dd5dbe26f1c5

Observation 5c347159-2387-4eb5-8403-fb9947379f3e · outbound

This paper cites Manipulathor: A framework for visual object manipulation,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs Manipulathor: A framework for visual object manipulation,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:28:57.302550Z

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.

source=pdf_text observed=2026-08-06T15:28:56.933382Z digest=sha256:fe838861bcc92ea5271597ce5b81d80240a1ff34f1d67103e78dbf08757afedf

Observation 00ca0759-1a57-410e-a352-12078bf6e9b7 · outbound

This paper cites ProcTHOR: Large-Scale Embodied AI Using Procedural Generation,.

Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs ProcTHOR: Large-Scale Embodied AI Using Procedural Generation,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T15:28:56.982091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:28:56.982091Z digest=sha256:60a6f1cbae6b823fcc2881f22571b8f5e3615fe0bd803ccf9307843319d62742

Pith citing papers

Observation c51f44fe-e6f3-4003-85fa-5dfbf8730d3f · inbound

Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene Graphs cites this paper.

Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene Graphs Interleaved LLM and Motion Planning for Generalized Multi-Object Collection in Large Scene Graphs

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:16:13.664927Z

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.

source=pdf_text observed=2026-06-28T17:24:02.843529Z digest=sha256:65bede2a4b53135f3788ee6d5aeb7346ffb494d680cc6b26fd8de42990eeead5