Pith. sign in

Paper Citation Record · LEDGER

Distilling Empathy from Large Language Models

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:29.997677Z digest=sha256:6471c174a03f020f430ee2ab940fe78b8d9cc2287528cce66ac8b2a1b2b5124c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.424042Z digest=sha256:d46500a4dd6e22144087519d4a8707ea43d7fa1b7d1e9f29c6d958bbe1a3f241

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.507140Z digest=sha256:293dad3a35a81529ea2dba41b7f20a50f13cccddc2a01703df3daa480c0bb23b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.597244Z digest=sha256:63b7af1e8804c3bf17883b926371348ecbf29a5369e901b4dba155114cbac24e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.687956Z digest=sha256:ea5ecc2a8b8f35065081e58d353c676ad976fb6200dd8e097a2139ae234999ae

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.753328Z digest=sha256:c6536e76e08bcfe2290e6714347470e067c31af536a0f5b78e2b3aa6d2e9b6f6

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:30.960507Z digest=sha256:495f33529f8896810a43c7d8ff0feffc08af02c3122a40ef31681c057ce2e4be

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.037031Z digest=sha256:746b360932561c8863040f1ec2cb734a395b600a20f027a99fa1b7a889e42b9c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.102052Z digest=sha256:7a11092c68e507c22333fd7d2e6f99e17d029ccd7fda9e67148fe144988a2756

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.249577Z digest=sha256:161e5c925a2bb5adc4b6a8b80d4fa88dda14895d37a60b313b64e43079f2a103

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.570665Z digest=sha256:aedec02bd23cf9a8c45244fe19b8733692812882de4c27ac85099f4172274b20

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T18:31:31.744657Z digest=sha256:1a1dcd831165612c10bc52cc44482c412d35a36fce2e50ec2e916e481e5de7fc

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=sha256:0c96ab120beafc74c6d8a070bb84a5459fbdc5432cf433cd04872d0e43e861fe

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.