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Paper Citation Record · LEDGER

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2307.01928.

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

pith.paper-citation-record.v1
2307.01928 v2

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 2026-08-04T06:34:03.388597+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:45:35.159133Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:37.865696Z

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 6a1b51c8-a4f1-4984-b009-979eac26db66 · inbound

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

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:36:18.452742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T18:36:18.342052Z digest=sha256:7d4a19bc5a880654400b1a8fa7346a8ca8bbc0ba30bbf114e3398ee585436304

Observation 6a5b5e00-ddd2-494d-b387-10ac86c4549b · inbound

VizCopilot: Fostering Appropriate Reliance on Enterprise Chatbots with Context Visualization cites this paper.

VizCopilot: Fostering Appropriate Reliance on Enterprise Chatbots with Context Visualization Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:11:04.036795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T07:08:14.700656Z digest=sha256:893d6a6c8de76400aa13942bc881177d1fd577661dc5bb6689780093ccf4d251

Observation d6ae89b7-2d84-4dd2-80da-332a69dc6ed3 · inbound

VL-LN Bench: Towards Long-horizon Goal-oriented Navigation with Active Dialogs cites this paper.

VL-LN Bench: Towards Long-horizon Goal-oriented Navigation with Active Dialogs Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T13:56:48.229079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:56:48.229079Z digest=sha256:850680ab3e53ceb160cff16e9889db500ddce43cc78dc1306b27c473c3c354fc

Observation 6cd00740-1a09-415c-8cde-a3d4c9573424 · inbound

3D Instruction Ambiguity Detection cites this paper.

3D Instruction Ambiguity Detection Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:53:03.864083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T15:52:04.226703Z digest=sha256:f92e54907d4f1fd46b602eaf5ae13b77e60a6ce071df0f797306403c74512269

Observation 2dcddeb9-8604-4f6e-be21-ac7e6d1ecb97 · inbound

KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning cites this paper.

KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:10:45.601861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T08:07:48.508022Z digest=sha256:4260bd4e77c1b4ba8b02750f0178dc5f7d9cf002145e1d07447dd1b6f8907a75

Observation d934489a-419d-467f-85e8-4796fa12c9b0 · inbound

Geometry-Calibrated Conformal Abstention for Language Models cites this paper.

Geometry-Calibrated Conformal Abstention for Language Models Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:31:28.652600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T05:56:03.031192Z digest=sha256:966826ae8037c1567f1a34c2b7d5229baa4c7c330595b5b457839a520b84b3e7

Observation 504e646a-edff-4ade-b20e-bbaad34468cf · inbound

Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning cites this paper.

Policy-Guided Stepwise Model Routing for Cost-Effective Reasoning Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:01:11.825753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T10:29:23.538806Z digest=sha256:ac45b801826317f212ec0797fa570e77d3f5c269c877c47b30b60d5661b2f4b8

Observation 134f8375-609a-4eab-b042-6d47583d478e · inbound

Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces cites this paper.

Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-06-30T21:05:03.845878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T21:04:02.263300Z digest=sha256:1c085aa95b6bfbd6f99195a77d361a039b296b062c6f6a5f42901341f195a22b

Observation 639713f8-aa76-4769-b0d0-79c76c221bb5 · inbound

TaskGround: Structured Executable Task Inference for Full-Scene Household Reasoning cites this paper.

TaskGround: Structured Executable Task Inference for Full-Scene Household Reasoning Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:03:13.959464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T10:53:44.014259Z digest=sha256:11f43f47ae4e29b4b38d3581b98db5f6d5bb2ef19170067af0821d2c1bf2d0f2

Observation e7bf17da-b77a-40e8-952f-02594bb1c99c · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:58:14.239567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T10:54:54.558241Z digest=sha256:4932cbf794e7e1cd4b8c27491ea0fd8351a21a2d3361cb3c6bd2bfc346dd016f

Observation c043d65d-61d8-4e5c-9f5b-7448af786996 · inbound

Strategic Decision Support for AI Agents cites this paper.

Strategic Decision Support for AI Agents Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:56.406032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T09:57:46.960346Z digest=sha256:35700d63cd9e425b9cd51e8bea7afafd8f9d6e2b26f6fa71c33c8eee361efe70

Observation b9a568d7-dcc7-461d-bf73-ffb22c0f0a7c · inbound

Beyond Failure Recovery: An Engagement-Aware Human-in-the-loop Framework for Robotic Systems cites this paper.

Beyond Failure Recovery: An Engagement-Aware Human-in-the-loop Framework for Robotic Systems Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:28:59.509620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T00:24:24.935123Z digest=sha256:c46a033e3558ab76ad74b439c174f5bbb3e1eccf79f33f61423d737ed6c3c927

Observation 6793b108-f6ad-45ec-8efe-8838e40c4f88 · inbound

Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier cites this paper.

Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T06:07:41.606230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T12:53:05.153500Z digest=sha256:622f93d524cdeb7ac6e10f258f8531bd9e93476c428d8d1670010631069b8484

Observation f79c0c69-7ee1-4aa7-a8ee-f563ab613a35 · inbound

Calibration Is Not Control: Why LLM-Agent Oversight Needs Intervention cites this paper.

Calibration Is Not Control: Why LLM-Agent Oversight Needs Intervention Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:29:37.867958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-26T14:24:38.527103Z digest=sha256:99784ba1c7565190e1f367d02e33926628f6efb8649158f328e4977283e8e04a

Observation ba585709-7566-4d93-939e-12d3917866a4 · inbound

Budgeted Act-or-Defer Multi-Agent LLM Deliberation with Local Reliability Bounds cites this paper.

Budgeted Act-or-Defer Multi-Agent LLM Deliberation with Local Reliability Bounds Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 82

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:04:21.950414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-30T06:56:25.830078Z digest=sha256:935e62f66fa85f74ade1432106c42076950652535f42373697bc1467aaf16878

Observation 1db8443b-178c-45ca-a6c8-06fbd44fbb37 · inbound

PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution cites this paper.

PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-01T20:28:20.634614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:28:20.634614Z digest=sha256:b1aefabc25ba614f57dd981f97bcbcee10747d8c67d828884506a401492b8b79

Observation 55880776-1e24-4fba-a8ef-ac00cef628bf · inbound

From Cognitive Architectures to Language Agents: A Mechanism-Level Review of Lineage, Convergence, and Migration Gaps cites this paper.

From Cognitive Architectures to Language Agents: A Mechanism-Level Review of Lineage, Convergence, and Migration Gaps Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 71

Resolution
unresolved
no resolver link, observed 2026-07-31T23:30:37.803200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:30:37.803200Z digest=sha256:4ff52fe09c33aefdc764157a650aff68efd628d6e9a5961e56d84e104528fc76

Observation 8b1b5761-2563-4971-985f-7e93148ba207 · inbound

Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels cites this paper.

Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-01T00:48:45.639701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:48:45.639701Z digest=sha256:151ae7ee40804935b76e5c1ae6b06e673326af4c30ed4df648e261f139488967

Observation 6342ba79-42b6-4dbf-92cd-09667a8f1172 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Reference 212

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:35.159133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:35.159133Z digest=sha256:db3f66d36360928cab4814faeda82deb94d799ef24dde2105d8a4a833946d9e9