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Paper Citation Record · LEDGER

Distilling Empathy from Large Language Models

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.08151.

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

pith.paper-citation-record.v1
2507.08151 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:31:31.925569Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc7f66c0-3d0a-446c-b145-15a1fc98c880 · outbound

This paper cites online" 'onlinestring :=.

Distilling Empathy from Large Language Models online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:29.725100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:29.725100Z digest=sha256:b4fbb9f6474270f22e30f773a241f2fb429ad49061501f491e5920f6699120de

Observation 0691bd48-a81a-4a8a-b1dd-50a8b5896cd8 · outbound

This paper cites write newline.

Distilling Empathy from Large Language Models write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:29.856089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:29.856089Z digest=sha256:4ff6799982ec1c20e4a4332567b60284fd835d66766110a2c4622a7159d1c347

Observation 5233593d-d2cf-4841-8f97-32afb762fd41 · outbound

This paper cites Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data.

Distilling Empathy from Large Language Models Particle simulation methods for the Landau-Fokker-Planck equation with uncertain data

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:31:32.699547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:31:29.997677Z digest=sha256:0e2b07ae71ed47f8dfc93bfc779bbf309ad0c6267e027c3009a4663fe0a0a3b9

Observation c425f8c9-335a-4e1d-9da8-dc89f3934615 · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:30.114191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:30.114191Z digest=sha256:0a59444f077b7629487a02f75d4b3acea2a26270341a1f46d55f2e9a7121c361

Observation 943a2501-745d-4bf5-862a-d0e6b84d2cc5 · outbound

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

Distilling Empathy from Large Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:30.306173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:30.306173Z digest=sha256:8dc3ef52ca7b11f7e9cf4d0e6e20e2c6f9bcb1298ef9fa5f82e5d2bc90dd9287

Observation 65b65310-379f-479d-9951-8771e57e4958 · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:31:33.676704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8b2dc6fa-96ff-41b8-8a8c-a1d56b81278f · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:31:33.670246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7c552d02-99f5-4614-87e0-95ad4c1fbeb5 · outbound

This paper cites Xing, and Erik Cambria.

Distilling Empathy from Large Language Models Xing, and Erik Cambria

Reference 8

Resolution
verified exact
doi, observed 2026-08-06T18:31:32.239951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.597244Z digest=sha256:f9d30425413c0bcea87175243882ade1718c311fa867a04d33c95a02472d8c39

Observation 3152d398-a6ef-428c-ae6c-0582619b567a · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:31:33.663234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.687956Z digest=sha256:325fceb20b0d5253f6413819083172dce867f7dd04f4522b9f697a2ab5323ed1

Observation ce360f4e-852d-48f8-ad26-792b80083964 · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:31:33.657112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.753328Z digest=sha256:003b44e1327f706bd559a21f560cad4f1cbc3ac01ab6783c2972818d507955a7

Observation 0ade051d-914b-4956-9065-349cd43b8d56 · outbound

This paper cites Mixtral of Experts.

Distilling Empathy from Large Language Models Mixtral of Experts

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:30.835160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:30.835160Z digest=sha256:b5c15c127acaf37be23c7a784be9594831186fe9c2849a3eda740c9ae82647d2

Observation 47259ce6-a90e-4d94-9355-c75288c884ff · outbound

This paper cites GPT-4 Technical Report.

Distilling Empathy from Large Language Models GPT-4 Technical Report

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:30.898951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:30.898951Z digest=sha256:8ca160c69f5f7a62792d8a7e50788ebbae12d28dcb39086afc0e4ad992fbea37

Observation 7854a939-4144-4582-a0ea-3dba796fb16e · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:31:33.650025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.960507Z digest=sha256:a5a1b94fef0a92341a1d5354b0b51b64349ec6c6106a0d03f54ed62fa6585ebe

Observation e37747bf-a880-4d53-96ad-6d696164fcc0 · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:31:33.443969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.037031Z digest=sha256:a06513c8c64568326be201add59d26855d4c47fb12f1962b2fc2cb02c0ba0878

Observation 77bb6414-012a-4566-9927-eecec8a05928 · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 15

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T18:31:32.543502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.102052Z digest=sha256:02c0bce2def393b967930cfc152c55652d63f04cf2872c1b2e3aa047bbb9b1b2

Observation 52616b4d-b041-4953-aef0-ae392664ad03 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Distilling Empathy from Large Language Models Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:31.184784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:31.184784Z digest=sha256:a555ebcc8385efa3a9f4dd89f39cb431abb69fd9bf0d1e04a66e8bf73a62e5c7

Observation 6bc912bc-2c80-42a5-83aa-e86bd1c95ddc · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T18:31:33.189800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.249577Z digest=sha256:90ae7a21c4738bda0f4ff509149519df6f85e541b7f6af3234bd93990c655e48

Observation b72be162-6e4e-41ea-bc80-cdf9c1207d6e · outbound

This paper cites LLM Pruning and Distillation in Practice: The Minitron Approach.

Distilling Empathy from Large Language Models LLM Pruning and Distillation in Practice: The Minitron Approach

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:31.313068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:31.313068Z digest=sha256:3f9ffb8e1d1b3a073ab3ea5459b9a8da628d7d406a6dfc40f5fd3973125c3432

Observation f6b202c1-5a29-4259-a4a2-6ba09062fe66 · outbound

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

Distilling Empathy from Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:31.452320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:31.452320Z digest=sha256:9fce55e744522995af73a9ba9c0f00f2b2f34b9d05176ee285f299ce74e4fa9e

Observation c7330600-a6e0-41d6-ad99-1d6f324d9faf · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:31.499535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:31.499535Z digest=sha256:dccd8e93a960ba43d8c86e031a7602df3213f0685a8677aed82c2003b6850954

Observation 35572c64-0e08-43d2-9b2b-68ff4ce75ad6 · outbound

This paper cites an unresolved cited work.

Distilling Empathy from Large Language Models Unresolved cited work

Reference 21

Resolution
verified exact
doi, observed 2026-08-06T18:31:32.092483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.570665Z digest=sha256:e4ed1779f4d0086a7a78f7f39ff7bdd100b2e5b77650cbcc08d3a78dddfa6f2a

Observation 6e66fe39-4a6d-419c-836d-eb1e8ccef01c · outbound

This paper cites Are Large Language Models More Empathetic than Humans?.

Distilling Empathy from Large Language Models Are Large Language Models More Empathetic than Humans?

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:31.655032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:31.655032Z digest=sha256:c937beaa29263aaafe15d73a263c4a88abe76677aaedab5af6b557dca9605448

Observation c728b146-bfae-4a77-b2dd-5a42aff7ab2e · outbound

This paper cites Xie, Jinghan Zhang, Xinhao Zhang, and Kunpeng Liu.

Distilling Empathy from Large Language Models Xie, Jinghan Zhang, Xinhao Zhang, and Kunpeng Liu

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:31:32.897422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.744657Z digest=sha256:65db45e4287a5ad76274f201af7233b3f73eab5ba71c76ca638a30639537a7c5

Observation 479733c5-2ed0-4351-bd94-7635af876ec9 · outbound

This paper cites Xie and Ameeta Agrawal.

Distilling Empathy from Large Language Models Xie and Ameeta Agrawal

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:31.810953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:31.810953Z digest=sha256:195494ee9711cc1fff51844bfc8379028fd736e5253268658f4fd9e07b4cf4a6

Observation 92f80278-4f0f-4cec-b552-e2d1d644cd6e · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

Distilling Empathy from Large Language Models A Survey on Knowledge Distillation of Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:31.857983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:31.857983Z digest=sha256:5ed72336b966d845c5a8a3eabdd86a138738e9dd6c945af600a44d0420b4a3ad

Observation 9ed1aa56-11ec-4280-b417-2a06e4d384de · outbound

This paper cites LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models.

Distilling Empathy from Large Language Models LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T18:31:31.925569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:31:31.925569Z digest=sha256:3243de9cc6817979637ef6a59eab305d3911944f073ab67e73f5d2586b64ebac

Pith citing papers

No inbound Pith citation observations are available.