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Paper Citation Record · LEDGER

Distilling Empathy from Large Language Models

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:0dbe715a76ad7bb40792b70ba783a30075b7ab537fb54195b679b7e3ca77741c

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:f4bfb64bf0ed7ef78f25efea6eebc270d26b7f75e7ffbfc9ed55a868d60e32c8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:29.997677Z digest=sha256:b54d02dc2aa58c1faea5613eac10fc1cf7af8317e355372a66054d2a4d4d2e99

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=sha256:76437439cb58a6246df69c5ba12a4df8f8b72ef26ad79f0e9c509060b1788912

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:f16fe10a37521bece5f524842215adc2420bb98c56b2c92e03b3ad7f89fbb227

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.424042Z digest=sha256:207a7d114c0d9aa43b045931291daeda6347a13223f59e41c104723834bf9d86

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.597244Z digest=sha256:72ee5d57f98933eeb1b91912ac8b0a69f63b6ae4729b96b59b65a70b7311ca73

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.687956Z digest=sha256:d332bf7ba18b3f1672ca5b4d86ee0ce6fda9950883a7b05b31ec6844be43fe5f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.753328Z digest=sha256:68f96297c2dcf93a2f30b542d9d70b18ca3ac6b641b45fea95e3fa73867fec84

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:e9e5c4484c87cb1b63aaf4e36e62caf690d0762eac8fd15c97f17538ef3082ea

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

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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=sha256:832d5f65ae66b6f73a2866d72a0eadca76e050f16f3b7634fd3cc26e3bbf6374

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.960507Z digest=sha256:2c3ec318e765d4ef05815a0082b08b81e31dc9ab93b73f2fdb77b71ff87230b7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.037031Z digest=sha256:1b5485929c47a77e8fe2e79c3f5aedf6705e74e6e1b73b02f50befe9f07e5b22

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.102052Z digest=sha256:ec04ccca08c0f430764aebbdbcc9dba5f06a9909e1612b9fde2d9805e8d21911

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:d2caedfdf091608d58d66189076bfc856e02eae5fb2089aa85f74c8b60b01a56

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.249577Z digest=sha256:3ebfb7ca46650442c8f4ff5b511075eb58f46e028c013dfe173bec204dca1518

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=sha256:754ff786093717081464d62f8e7de00d50c08de08bb86cc98989d7874c530baf

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:c3e8fe897d1943573734ad5e4c499f3cea9bd03cdff67f89382053fe9a79ca6a

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:e6f325121d11e8396e59a406cde83950f2c07b9f0ae00c2db3278d9098a4c899

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.570665Z digest=sha256:955519839dc8a9ab565cbf79ffe92a313713b0a9244713891163efc3e0bcf4a3

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=sha256:6411e5b98fe3b22081d9e51183684d05dd0f98a359803f01e15dbf591d49be84

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.744657Z digest=sha256:5cfa19b30dda4dc169287ccef67f1c948a62c57e2684cb78c317cf58bb6406c3

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=sha256:46f1a63827da763b53f4979aa45ccf8df7d54885220ee567452bb799fe8adbf9

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:b508fe07715a6f4cbe7bfe1f0e5d1c21eadb7b3514634da776d485e0f072d8ed

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=sha256:198d6376d04a782ddbb9792a0eaed7281ab1f3e692eb15c73d23867299890830

Pith citing papers

No inbound Pith citation observations are available.