Paper Citation Record · LEDGER

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA

As of 19 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 3 inbound Pith citation observations for arXiv:2505.20971.

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

pith.paper-citation-record.v1
2505.20971 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:48:46.642487Z

measured 19 of 19 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:43:20.795111Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T06:02:25.527093Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy11
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 271ca634-ddac-4700-874a-77bdb10e0054 · outbound

This paper cites an unresolved cited work.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:48:49.206066Z

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.

Observation 20c81e93-f397-4283-b62b-6b362bbda672 · outbound

This paper cites We then take gradients (w.r.t.w) and update w so that pw(a|q, z) is more likely to produce the correct a for the sampled Graph-aware Reasoning Chains.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA We then take gradients (w.r.t.w) and update w so that pw(a|q, z) is more likely to produce the correct a for the sampled Graph-aware Reasoning Chains

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:48.940085Z

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.

Observation 0dbf57a9-bd90-4da6-ad9b-2fd048e25740 · outbound

This paper cites InProceedings of the 62nd Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers), pages 5014–5035, Bangkok, Thailand.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA InProceedings of the 62nd Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers), pages 5014–5035, Bangkok, Thailand

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:49.824074Z

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.

Observation f0879df4-00ca-460c-9164-eeb9631ddad7 · outbound

This paper cites most aligned.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA most aligned

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:48.612067Z

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.

Observation d805a0c5-d383-46ce-bb0b-7a96aeba1a40 · outbound

This paper cites 2.(E-Step):Using the updatedw, compute pw,ψ(z| G, q, a)∝pw(a|q, z)p ψ(z| G, q).

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA 2.(E-Step):Using the updatedw, compute pw,ψ(z| G, q, a)∝pw(a|q, z)p ψ(z| G, q)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:48.346881Z

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.

Observation 30d2f597-a0e3-4635-ae86-6e7e4678458d · outbound

This paper cites fine-tune pψ so that it is more likely to emitz I in the future.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA fine-tune pψ so that it is more likely to emitz I in the future

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:48.041055Z

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.

Observation 9bf56e90-161d-4a29-91ff-675066b893f8 · outbound

This paper cites Full Posterior.Instead of sum- ming/sampling over all subsets, it is simpler to pick the top- K Graph-aware Reasoning Chains byS(·).

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA Full Posterior.Instead of sum- ming/sampling over all subsets, it is simpler to pick the top- K Graph-aware Reasoning Chains byS(·)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:47.751389Z

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.

Observation 48bfcc94-746a-45b2-9d02-5ca988ea711c · outbound

This paper cites What did Dr Josef Mengele do?.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA What did Dr Josef Mengele do?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:47.468300Z

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.

Observation dd8b7ae4-05cd-4dc7-8211-f722a3ccc09a · outbound

This paper cites Girl Tonight.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA Girl Tonight

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:46.981669Z

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.

Observation 0d64711d-fd8e-4cd3-a60a-8c921ec0ae5a · outbound

This paper cites Zixuan Dong, Baoyun Peng, Yufei Wang, Jia Fu, Xi- aodong Wang, Xin Zhou, Yongxue Shan, Kangchen Zhu, and Weiguo Chen.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA Zixuan Dong, Baoyun Peng, Yufei Wang, Jia Fu, Xi- aodong Wang, Xin Zhou, Yongxue Shan, Kangchen Zhu, and Weiguo Chen

Reference 1977

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:50.020490Z

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.

Observation 7c94d4e5-aa95-45ae-973b-26ca4dde2dc3 · outbound

This paper cites To ensure fair comparison, we adopt identical train and test splits as previous works (Jiang et al., 2022; Luo et al., 2024b).

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA To ensure fair comparison, we adopt identical train and test splits as previous works (Jiang et al., 2022; Luo et al., 2024b)

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:47.253053Z

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.

Observation 8941b8e4-cfc5-43cf-9815-e0b7b8c967ee · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T13:48:45.050737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 154a6200-e430-4c7a-874d-3f3fa18a3bf5 · outbound

This paper cites Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T13:48:44.799173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fc7bdf4-1a05-4659-92d9-cb1eff97d34a · outbound

This paper cites ALERT: Adapting Language Models to Reasoning Tasks.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA ALERT: Adapting Language Models to Reasoning Tasks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T13:48:45.191095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d6d21f3-c23d-4193-81a5-7c6be1f168ea · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:48:44.516421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e571c8cf-0ce2-44cb-9723-f10c718d360c · outbound

This paper cites Robyn Speer, Joshua Chin, and Catherine Havasi.

Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA Robyn Speer, Joshua Chin, and Catherine Havasi

Reference 8219

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:48:49.496688Z

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.

Pith citing papers

Observation 117365ff-4fd1-4e5c-a2f2-8da4cc48dab3 · inbound

TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks cites this paper.

TN-AutoRCA: Benchmark Construction and Agentic Framework for Self-Improving Alarm-Based Root Cause Analysis in Telecommunication Networks Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T14:43:20.795111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11cccd2c-858c-4e4c-8fd3-8ab797e75223 · inbound

Matching Game Preferences Through Dialogical Large Language Models: A Perspective cites this paper.

Matching Game Preferences Through Dialogical Large Language Models: A Perspective Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:26.939721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 091d5baf-e1f0-4f52-972d-c8c222aee92d · inbound

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM cites this paper.

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:02:25.529673Z

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.