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Paper Citation Record · LEDGER

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking

As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 3 inbound Pith citation observations for arXiv:2505.02322.

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

pith.paper-citation-record.v1
2505.02322 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:01:38.405894Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T15:14:25.558878Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 76449969-9695-4eeb-b1c4-dd672d53b68f · outbound

This paper cites Failures are due to dead loops, numerous failed attempts, or exceeding the step limit.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Failures are due to dead loops, numerous failed attempts, or exceeding the step limit

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:38.664464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.341680Z digest=sha256:13244a2d878ff5e647c9a2d8cce46f66313790c8c3a7a9fd9a5d0d3e5598e792

Observation 18337ab7-529d-4583-8385-9a498d4d61bc · outbound

This paper cites an unresolved cited work.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:38.649972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.346610Z digest=sha256:b1f981e27e134f152b8a3eeb0df28cb4207962a97cc5a2a82c6a9c950dc55c19

Observation 6ecf1855-33c0-4733-adf9-052b8eb5fd28 · outbound

This paper cites an unresolved cited work.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:38.636030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.351178Z digest=sha256:c1f3e4150936e27787dbf770db12b4bdb1e50ee2d0833bf2b346ef48bac8fbfb

Observation 3390231c-4ef6-4bd3-add3-67e9b03d8681 · outbound

This paper cites Furthermore, TravelPlanner uses micro and macro strategies to assess the Commonsense and Hard Constraint Pass Rates.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Furthermore, TravelPlanner uses micro and macro strategies to assess the Commonsense and Hard Constraint Pass Rates

Reference 4

Resolution
malformed identifier
raw_fallback, observed 2026-08-16T01:01:38.621912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.356081Z digest=sha256:95b9230ac36a94692e28bf8506a00ef4ebdc5314db9c10103ae0963fbba7dc48

Observation d391f4a1-820e-440b-af51-1946e0167f4d · outbound

This paper cites 16 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking 16 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:38.608502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.360833Z digest=sha256:37bcda25af6eab1a42ff3aaebf0e40c7f8b646404eb74710ad61cad888c6c82f

Observation e6846881-cf68-45c3-bfbb-5a1c7f5986ef · outbound

This paper cites The impact of these factors varies across tasks.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking The impact of these factors varies across tasks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:38.593866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.365179Z digest=sha256:f24af45e20293ac540ceae4ca56588cd9b0241efcccebdf20664ce9bc29929bf

Observation 25edae4b-6789-44a6-b8f7-6ab79564536b · outbound

This paper cites an unresolved cited work.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:38.579821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.370130Z digest=sha256:6b457a22b5bdf06f10f81f634b6c2416eefcebcb5dfb682682022622babfccbd

Observation e84aca17-f2f6-4397-a4cd-97aa1ffc5b8b · outbound

This paper cites an unresolved cited work.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:38.565095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.374363Z digest=sha256:a8615d30e6a7e8cde020e2b9a9d184856501574ff8803b085ba12871cbb80532

Observation 1a7cb78d-8986-430e-a060-f4a14fa0aa7c · outbound

This paper cites an unresolved cited work.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:38.549770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.378792Z digest=sha256:7993520ff03cfdde6af64f246edcb4da50824979a5d1f61c9cfa58028269844c

Observation 37f1203d-e9d4-4b98-b99a-7fdf4097e7bb · outbound

This paper cites an unresolved cited work.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:38.534232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.383238Z digest=sha256:1459dff2426c4701a79680b85fbaef8ca1c4cd3ce1d9e3e857415b560e46cedd

Observation e150660f-8bf8-4742-a858-374847586be2 · outbound

This paper cites an unresolved cited work.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:38.517286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.387744Z digest=sha256:effd6121c98a37cf64ed6329bdeaed8a95bff188fbdbaa004170711dbdb7202c

Observation 54387459-aefa-46ad-8cde-ffc9d52c29a3 · outbound

This paper cites an unresolved cited work.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:38.503332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.392568Z digest=sha256:b5b4e2394d901ba4925064edddccc6000b20a6785d7e71783544eeb9fd01e4e4

Observation 13b81383-4fcc-46b8-8380-52688b40dcc1 · outbound

This paper cites an unresolved cited work.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Unresolved cited work

Reference 107

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:38.489760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.397089Z digest=sha256:d98a7f6fb96ced7928c86d504842457045fde2859762d9b82b7bcf0e7d3ca455

Observation a9a6ec88-4ead-4caa-a950-649dc5358b25 · outbound

This paper cites an unresolved cited work.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Unresolved cited work

Reference 118

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:38.475833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.401599Z digest=sha256:2c42126807fb2ae67904f322f1115dcff1687bd5ee32b04c731c435694dae97e

Observation c922f090-8d74-4256-9fc9-edaee0430f08 · outbound

This paper cites Flight Number: F3956409, from Houston to Nashville, Departure Time: 17:36, Arrival Time: 19:12.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Flight Number: F3956409, from Houston to Nashville, Departure Time: 17:36, Arrival Time: 19:12

Reference 129

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T01:01:38.461416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T01:01:38.405894Z digest=sha256:e47a517bf6bfd470bc3d4a5909025eb324c65e5ae3695c7f14437d5995cb873e

Observation d4610f44-de5a-4235-8495-44d7910c649a · outbound

This paper cites Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning.

HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:38.335249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:01:38.335249Z digest=sha256:6ac6dec5ab4bb4dd2d69fd090fa7c024387d5be0d646486e1d75d53aba7dee76

Pith citing papers

Observation 4028100f-f102-4ee5-bbda-475c2a672665 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking

Reference 227

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T23:13:15.628353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-14T23:13:15.016486Z digest=sha256:ed1ae47ab7f255864b51d7e4c7573bcd5164629528650aab987dd8e5801a8fbd

Observation 52167bd2-dda9-484d-b306-17b7197c2efc · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-17T15:14:25.901737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-17T15:14:25.558878Z digest=sha256:4ed0f352982f96817a8de3bf4edaacd82c1a485e40fe37feca5efd0f47a4f036

Observation dacf83ba-b6d4-4ade-9008-edeef0e93eda · inbound

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering cites this paper.

HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T23:54:45.609702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-09T23:51:47.724033Z digest=sha256:2198d1ce26e8e8b1bb2639d025095066659180464b3b9de3119b73351797a56d