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Paper Citation Record · LEDGER

EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2406.05756.

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

pith.paper-citation-record.v1
2406.05756 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:05.093854Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:31.578595Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 70391a06-e907-4d75-96db-b74a2f2ec99a · inbound

Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models cites this paper.

Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:40:33.084647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T08:38:02.944230Z digest=sha256:855f06d15e2297f2bcc3304ebdc929865d5d9c3cb63e11c5b0e9e9a47cd9108b

Observation 208b9e5c-4569-46e9-bf2a-e06398c05537 · inbound

Can Multimodal Large Language Models Understand Spatial Relations? cites this paper.

Can Multimodal Large Language Models Understand Spatial Relations? EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:05.093854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:05.093854Z digest=sha256:8eaaf73d79d27b2bce420126f5cb7ed97b0377782ff071413eca21d8afa0695b

Observation 238f1441-c846-4b0f-9c6b-7764cd1cf2b6 · inbound

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation cites this paper.

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:06:51.597567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T22:04:34.235731Z digest=sha256:c0f979780c1a5512c4abbc83589705f9caf11d6a489ff0cf28dffbc0879d9211

Observation 229f5293-19fe-4bde-8a71-023cbf94a79d · inbound

Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks cites this paper.

Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T11:56:08.375780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:56:08.375780Z digest=sha256:e001fc3b225184582074ae62da50eabe312c915e2cd1a88e4f37dc96b60e3452

Observation ae34fac7-522c-4b02-a236-f148ed3adce0 · inbound

MiMo-Embodied: X-Embodied Foundation Model Technical Report cites this paper.

MiMo-Embodied: X-Embodied Foundation Model Technical Report EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:42:05.754334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T20:40:54.096289Z digest=sha256:3436e2f15f20dc2f6b7a5f98e943c5ba227425bcae4dcbef713b3e2104ecde00

Observation 975fadcf-9c14-4c5c-a1fb-3416f0b2bd12 · inbound

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models cites this paper.

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T12:30:33.775217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:30:33.775217Z digest=sha256:cf05c78b9d94f47098c6d74ea31d502f4c1e73165e5713ba1ee93d9a916f8f05

Observation 061aae4d-59f8-4008-be09-f6229fb9c3d9 · inbound

ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning cites this paper.

ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:36:17.188203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T04:47:26.355990Z digest=sha256:a71f3944e0b180272c33401f8f42df7bd6ebaaf559abf757c8e63ed9d0779f38

Observation 6974c211-bea2-45f6-9d4f-2a917c3e2d2d · inbound

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop cites this paper.

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:53:13.225706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T10:52:22.778489Z digest=sha256:5cac6af184c402e4c6c762e3f3e9d43bd76604e4b5f0fe04f009c7ffe2ccf608

Observation 9a3e8e39-7f74-4c2e-ac96-4f8a20d1b3a5 · inbound

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop cites this paper.

ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:05:47.163287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T18:25:17.831116Z digest=sha256:fc90f2c313d1839a5dee0d8cc9a7ad094ace8bd1f758cc1151dd30da7582bdf0

Observation 53302d3b-3c74-482c-a942-f6006a862c52 · inbound

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving cites this paper.

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:15:22.911243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T05:10:32.522453Z digest=sha256:4fe5435663f77cb2419b461eeaa514bb265682bcf9135c0f802d2648782fadc5

Observation 77b10584-e331-485b-a269-77c67ee6e5bb · inbound

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving cites this paper.

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:44:56.133446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T16:40:22.441025Z digest=sha256:0820f01999228658977d03686f061a5d19a578782b6f16846580b2f39e05c485

Observation 34cdee41-66dc-4273-aba3-86ff36264dc9 · inbound

PInVerify: An Offline Embodied Benchmark for Active Instance Verification cites this paper.

PInVerify: An Offline Embodied Benchmark for Active Instance Verification EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:33:13.517521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T07:30:59.306097Z digest=sha256:8d5eef8eb61a2163098e68d7030dceb7c51c1d95e339b4e687bba2dccf24676b

Observation 38e5b699-4031-41c8-853f-3eb70f33bc40 · inbound

Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning cites this paper.

Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:15.636881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T15:40:05.730181Z digest=sha256:26859b9ba51cab917145c45b6f18287f903cee621720cea01fd7b41ac8dbad86

Observation b6619f2e-02b0-4692-b61c-69f4f4ae433d · inbound

Kwai Keye-VL-2.0 Technical Report cites this paper.

Kwai Keye-VL-2.0 Technical Report EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 154

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T04:27:37.112728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T13:53:10.352603Z digest=sha256:adb5aa355c23d165053d027f1d657294b0a540bc5a17f6bd0932cf5c8ab66654

Observation 8ca4bb14-e3ae-4a54-8187-28d855a22cdf · inbound

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients cites this paper.

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:48:56.073389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T01:08:52.981296Z digest=sha256:f0f112aa3de3606d8850f0cea55d60b6ff0fcfca20bbd01b9bcbb392341848f1

Observation 26832ac4-0509-489c-bf4d-37aed306a425 · inbound

S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence cites this paper.

S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:29:31.580964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T17:56:07.864580Z digest=sha256:3e2898eace77222aff63eb1002557edc5553ad3050eb64776eb1bcaf49a3cfb1

Observation e47439a3-ce36-4356-bb6e-17582f91ea97 · inbound

S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence cites this paper.

S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:54:39.080110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T10:22:08.535453Z digest=sha256:c777ed7e275c3c8620d5f5ef8018717390e89240983ca62d73b8a393cf1de067

Observation 3d61964a-5665-4016-9885-a4c8cb9d98d4 · inbound

Decodable Is Not Grounded: A Vision-Ablation Arbiter for VLM Spatial Reasoning cites this paper.

Decodable Is Not Grounded: A Vision-Ablation Arbiter for VLM Spatial Reasoning EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:35:41.083673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T06:23:00.372251Z digest=sha256:c3a705d282603ef06de4b2a0747d45185674d3da36b63e1db2005e7c1029c260

Observation 80c327f4-c8ec-48bb-b4fc-cc9e65c1ca7a · inbound

RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination cites this paper.

RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T03:16:53.011642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:16:53.011642Z digest=sha256:cff532a845333c7622d77678c2b00c2489d61c0febd18d720c6c97dc11ca7b89