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Paper Citation Record · LEDGER

Benchmarking Local Language Models for Social Robots using Edge Devices

As of 22 July 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2605.03111.

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

pith.paper-citation-record.v1
2605.03111 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T17:42:32.154484Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+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

22 of 22 outbound references displayed

  • verified exact6
  • verified fuzzy15
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 561a2363-ab65-452a-93fa-2f5d6e939165 · outbound

This paper cites Privacy issues in Large Language Models: A survey.

Benchmarking Local Language Models for Social Robots using Edge Devices Privacy issues in Large Language Models: A survey

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.377789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:cc5592644132d185b1184650d3773c373df4201da496e4a499039188c5fb779a

Observation a8b875fc-ecd2-4c4e-bd55-cebd98b06cde · outbound

This paper cites Locally- deployed open-source llms for code generation: Promises and chal- lenges.

Benchmarking Local Language Models for Social Robots using Edge Devices Locally- deployed open-source llms for code generation: Promises and chal- lenges

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.374175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:57cba45a7e43547b554a628b06d1bc933f35ed42b1aa9c89770e85bc3b659358

Observation 91d956cc-8431-4dfe-8420-89b0cef55c6f · outbound

This paper cites Open-Source Robotic Study Companion with Multimodal Human–Robot Interaction to Improve the Learning Experience of University Students.

Benchmarking Local Language Models for Social Robots using Edge Devices Open-Source Robotic Study Companion with Multimodal Human–Robot Interaction to Improve the Learning Experience of University Students

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.411368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 4e46452f-bcf1-4277-8fec-1184c8539a1b · outbound

This paper cites Human-robot interaction in higher education: A literature review.

Benchmarking Local Language Models for Social Robots using Edge Devices Human-robot interaction in higher education: A literature review

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.370554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:94f17cfb48380324b5988cd925c2a50e8c9b7edae8d9c062eb782e6de0d8a760

Observation 070a8b8c-f0fb-401d-8347-2f1f3470ee87 · outbound

This paper cites University Students’ Acceptance of a Robot Study Companion.

Benchmarking Local Language Models for Social Robots using Edge Devices University Students’ Acceptance of a Robot Study Companion

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.396958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:78751c1f3b7328d23072e8d452056a6bd4c1a3db1912202ce1ba354d92da70ba

Observation 7b74ddee-a8d4-4428-a2bb-1fbe601c137b · outbound

This paper cites Adapting a teachable robot’s dialog responses using reinforcement learning: Cross-cultural user study exploring effect on engagement.

Benchmarking Local Language Models for Social Robots using Edge Devices Adapting a teachable robot’s dialog responses using reinforcement learning: Cross-cultural user study exploring effect on engagement

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.366873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:dd7bf994c39eec5210a5ddc0b3186b4b67ced61dfc076468c2b6b820acb99cb2

Observation 2e7cc5c8-2f98-4ab2-b047-781c2489d2ee · outbound

This paper cites Investigating Adaptive Robot Tutoring in a Long-Term Interaction in Higher Education.

Benchmarking Local Language Models for Social Robots using Edge Devices Investigating Adaptive Robot Tutoring in a Long-Term Interaction in Higher Education

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.389304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:c6bb1453c51757f262c0b41040856746be67f45f70b97cce14e846f346512f60

Observation c1eb5686-a5c5-4333-a95b-0f4a199393a6 · outbound

This paper cites A survey on privacy risks and protection in large language models.

Benchmarking Local Language Models for Social Robots using Edge Devices A survey on privacy risks and protection in large language models

Reference 8

Resolution
verified exact
doi, observed 2026-05-09T05:25:16.425782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:1e03f2bafbc065715570d2bfce29f5d35739dda86268981454454c1b77c6c098

Observation ea3f4424-8e3e-4926-9a84-ce2f4ecfbecd · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Benchmarking Local Language Models for Social Robots using Edge Devices Measuring Massive Multitask Language Understanding

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-12T10:46:30.974677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:2a2ba380d6e63ea96def61ee93a5bbdcaa071705e21f7b3fc0bb433e76b5c725

Observation b83471f6-929f-455b-975d-93ee350babe3 · outbound

This paper cites GLUE: A multi-task benchmark and analysis platform for natural language understanding.

Benchmarking Local Language Models for Social Robots using Edge Devices GLUE: A multi-task benchmark and analysis platform for natural language understanding

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.415877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:341796b17478b9d0c05a05bb0a75b7a075fe7e295882078f3483ab17a3d92dcd

Observation ddd627ae-6098-4048-b102-ea81418cd923 · outbound

This paper cites EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios.

Benchmarking Local Language Models for Social Robots using Edge Devices EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:46:30.960220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:523372ea261a4a6d094aafe0375b03753aa84490b521c2ce2a3a86b4b7541d99

Observation 1ad19ff4-5f84-47df-8dd9-06f0fda4681c · outbound

This paper cites Available: https://arxiv.org/pdf/2511.07425.

Benchmarking Local Language Models for Social Robots using Edge Devices Available: https://arxiv.org/pdf/2511.07425

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:46:30.953591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:6c4fd01eacef9b68d88969bcdcc0be6d0e859e0a06cd21b1874a0b8257229fbc

Observation 79085cf0-6c1c-402d-adce-1d85187f94e6 · outbound

This paper cites Llmpi: Optimizing llms for high-throughput on raspberry pi.

Benchmarking Local Language Models for Social Robots using Edge Devices Llmpi: Optimizing llms for high-throughput on raspberry pi

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.407734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:aaa73fb2d6cb51459ac22db1576af8a7c527551db9ab75d0754d64396f784c3a

Observation cbfcf70d-bf77-42de-a678-b7d1f9fa3d0c · outbound

This paper cites Litert-optimized int8 llm for raspberry pi4 deployment.

Benchmarking Local Language Models for Social Robots using Edge Devices Litert-optimized int8 llm for raspberry pi4 deployment

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.392952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:026100815eaa7c210770925580bda59c5619ce0fea972af7727a60643d5dd7dd

Observation f583520f-2c60-4d89-9ad9-4d19b3d3cdbe · outbound

This paper cites Sustainable llm inference for edge ai: Evaluating quantized llms for energy efficiency, output accuracy, and inference latency.

Benchmarking Local Language Models for Social Robots using Edge Devices Sustainable llm inference for edge ai: Evaluating quantized llms for energy efficiency, output accuracy, and inference latency

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.381704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:147031cc878064cd1b9803f89e95331eac6b4d8c6f25969067fba97fc58386cc

Observation dc30ecb8-939f-430a-ae05-32ea4c647c26 · outbound

This paper cites deepeval.

Benchmarking Local Language Models for Social Robots using Edge Devices deepeval

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.419286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:aa347bf091e30ebff5143ec948f43345cb8290b004eb434a45d64f9d6d7821c6

Observation b0a3f174-daf2-447a-ac13-5bdef4527a78 · outbound

This paper cites Supplemental materials to ’benchmarking local language models for social robots using edge devices’.

Benchmarking Local Language Models for Social Robots using Edge Devices Supplemental materials to ’benchmarking local language models for social robots using edge devices’

Reference 18

Resolution
verified exact
doi, observed 2026-05-09T05:25:16.422749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:9d09248c6b365f6cc5dd0e0785722d0c81f31fa8593f4f6c29258d22cd89e022

Observation 9b7c6f9c-0405-434b-a17f-816941b1d01a · outbound

This paper cites Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting.

Benchmarking Local Language Models for Social Robots using Edge Devices Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:59:51.558892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:5246a03e986a4ac40091d163c5f473837ef9b8451b42284c6d716a90297ec4eb

Observation 55837b3c-3a7a-414d-9644-4b161be5d09a · outbound

This paper cites Does Prompt Formatting Have Any Impact on LLM Performance?.

Benchmarking Local Language Models for Social Robots using Edge Devices Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:46:30.944729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:90d3530d9d544c619c090ca2a28b4ce93991650ffc5528b26f3637fc659a070a

Observation 6a0c736f-77c2-4de1-a55c-f4b7724f2c37 · outbound

This paper cites [Online].

Benchmarking Local Language Models for Social Robots using Edge Devices [Online]

Reference 21

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verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.404055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:e3e1f1852344fac0b4dca6484e7597a21795bf177c96f109f5c8943fc37bc194

Observation 6dc581bb-c265-4465-a3ae-1c82ecb45217 · outbound

This paper cites Computing Krippendorff’s alpha-reliability.

Benchmarking Local Language Models for Social Robots using Edge Devices Computing Krippendorff’s alpha-reliability

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.385508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:63197ed89de07aa7f6c63568022b5c3ba20ac66fd9eb555e57649e3d0c9760b0

Observation 846fa106-916f-41fe-903f-75368dea249f · outbound

This paper cites Available: https://repository.upenn.edu/asc papers/43.

Benchmarking Local Language Models for Social Robots using Edge Devices Available: https://repository.upenn.edu/asc papers/43

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-27T11:19:00.400604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:42:32.154484Z digest=sha256:506478e93401a40298e6bdb57f086f5fd9767b6d6ee17e47f678ff26de98ea8c

Pith citing papers

No inbound Pith citation observations are available.