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Paper Citation Record · LEDGER

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence

As of 6 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2605.18067.

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

pith.paper-citation-record.v1
2605.18067 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T11:18:34.330740Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

51 of 51 outbound references displayed

  • verified exact7
  • verified fuzzy44
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 744a4d16-1902-40b2-a55f-01a78ec83a68 · outbound

This paper cites Demystifying small language models for edge deployment.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Demystifying small language models for edge deployment

Reference 1

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raw_fallback, observed 2026-05-20T11:23:26.155415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 0e4b2342-2b86-48a8-b66b-710edb48e12e · outbound

This paper cites Small Language Models are the Future of Agentic AI.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Small Language Models are the Future of Agentic AI

Reference 2

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local_arxiv, observed 2026-05-20T11:23:14.197871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:1024a7b03e0981233a5092d50883b6a387b6d7a6c0a3ff44ef4979c7196024f0

Observation c0f0ab1a-a8eb-4be6-aba9-6e574a6d4dad · outbound

This paper cites D 2moe: Dual routing and dynamic scheduling for efficient on-device moe-based llm serving.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence D 2moe: Dual routing and dynamic scheduling for efficient on-device moe-based llm serving

Reference 3

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raw_fallback, observed 2026-05-20T11:23:26.164469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:6729c1cdb095a0dcfc580925258271799bafb56586adc6261536cb7697a8fcad

Observation 0253b59b-6cf4-4d8d-8f78-b2d2e116acfc · outbound

This paper cites Klotski: Efficient mixture-of-expert inference via expert- aware multi-batch pipeline.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Klotski: Efficient mixture-of-expert inference via expert- aware multi-batch pipeline

Reference 4

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raw_fallback, observed 2026-05-20T11:23:26.151536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:74b81d8e406b0508fd298fc67dc4c7e0f1399f08338fff502e47e2bc2b9e6cfd

Observation 2b5d887e-c971-48d8-b6c3-b7fa0619781f · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence The power of scale for parameter-efficient prompt tuning

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:b301f7b936b7d0a0c077c407114ae0693f7aa4e0b59fc069501e30d33639afe7

Observation 7c8f5d67-b8f5-449f-a55f-d603258bc327 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Lora: Low-rank adaptation of large language models

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.162691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:fc65d99c25150bb49797396232f77d0779ab26f71648a54f9cf70016280de500

Observation e377fb62-ac78-476c-8d61-794f7e486884 · outbound

This paper cites Training language models to follow instructions with human feedback.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Training language models to follow instructions with human feedback

Reference 7

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raw_fallback, observed 2026-05-20T11:23:26.161015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:deaed5486a3beb33ceba692f950429fa005bf04a0404eb78ea013bf967e815e0

Observation 61175756-bc0e-4a52-9151-26305b6e10a5 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Retrieval- augmented generation for knowledge-intensive nlp tasks

Reference 8

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raw_fallback, observed 2026-05-20T11:23:26.149595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:ea22e32bf12c4f08ed9ca6518423c43e8727c56f581b19f487e23c5d1dba5719

Observation 3fddfd2d-bcad-4968-99b1-82bc4405484b · outbound

This paper cites Self-rag: Learning to retrieve, generate, and critique through self-reflection.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Self-rag: Learning to retrieve, generate, and critique through self-reflection

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.159068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:7ab032a3d37dcc42bf10cda91b90b509af47d388e68ec896392019cc723863e4

Observation 4fce5ccf-1eac-4276-b285-670512d769b4 · outbound

This paper cites Incentives build robustness in bittorrent.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Incentives build robustness in bittorrent

Reference 10

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raw_fallback, observed 2026-05-20T11:23:26.145650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:3a49da269b5835fea9e5628057b17b2fa6cdf899d6a868a961ade417309237a9

Observation de8194f3-d99d-404a-9088-4a3c822b3a13 · outbound

This paper cites Kademlia: A peer-to-peer informa- tion system based on the xor metric.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Kademlia: A peer-to-peer informa- tion system based on the xor metric

Reference 11

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raw_fallback, observed 2026-05-20T11:23:26.153573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:7bb3aa2785086146fd3539aed30718025c8cd594c6a4b4d91aef76a051c572cd

Observation 16d4038c-e997-405b-9a3c-eacd00402c7c · outbound

This paper cites Gossip-based aggregation in large dynamic networks.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Gossip-based aggregation in large dynamic networks

Reference 12

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raw_fallback, observed 2026-05-20T11:23:26.157366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:3e815a54306934ee6e3b95742269c467630e71b6bb337d542dee67997045556f

Observation adcf59a4-40e0-4556-8205-caa40c88b2dc · outbound

This paper cites Routerdc: Query- based router by dual contrastive learning for assembling large language models.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Routerdc: Query- based router by dual contrastive learning for assembling large language models

Reference 13

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raw_fallback, observed 2026-05-20T11:23:26.163183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:73ddb0e98209c9e2ecb7b75befc60897d402b8bc959f54a018dfa590164e4580

Observation a9aa2150-b84f-45eb-a2a6-30fcc0422d04 · outbound

This paper cites Kabb: Knowledge-aware bayesian bandits for dynamic expert coordination in multi-agent systems.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Kabb: Knowledge-aware bayesian bandits for dynamic expert coordination in multi-agent systems

Reference 14

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verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.125595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:03335fc82db3be46dadc39fcfe24819fab1028d62cca3c4d5962752a595103bd

Observation 604e2bf6-4e37-4da1-ac29-3ffe2ec3efe3 · outbound

This paper cites Mind2web: Towards a generalist agent for the web.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Mind2web: Towards a generalist agent for the web

Reference 15

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raw_fallback, observed 2026-05-20T11:23:26.137878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:edf037b9a63c8ecf94727326df54b36a389e7d20596f2833168d69d7dcc84729

Observation cfd77348-6591-49e0-9caa-032d2b4b58e2 · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Swe-agent: Agent-computer interfaces enable automated software engineering

Reference 16

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raw_fallback, observed 2026-05-20T11:23:26.119685Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:6f2185bca4ea2edb3d78ffe1a27f493925ded8df9a563096231bfb5b9317369a

Observation b100b723-e305-4c14-a05f-ad3e03177b37 · outbound

This paper cites Metagpt: Meta programming for a multi-agent collaborative framework.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Metagpt: Meta programming for a multi-agent collaborative framework

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:9d9a9f55cf711da3ee2d36f4ccd6060891de1ee0c34a2108e78ab3b520112c4c

Observation e4db7b03-e7b4-4dca-a538-fbb9531184e6 · outbound

This paper cites Mobile-agent-v2: Mobile device operation assistant with effective navigation via multi-agent collaboration.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Mobile-agent-v2: Mobile device operation assistant with effective navigation via multi-agent collaboration

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:c7881351223d90e511cf2bdb5f8947ec45ae33540bb763b5ee64179a7e88375b

Observation db013b8d-8384-4187-8d30-0e6683127c77 · outbound

This paper cites Mobilesteward: Integrating multiple app-oriented agents with self-evolution to automate cross-app instructions.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Mobilesteward: Integrating multiple app-oriented agents with self-evolution to automate cross-app instructions

Reference 19

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raw_fallback, observed 2026-05-20T11:23:26.142032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:52ba3991710ec7e19956ca27db2f0ad3bda05fedc998af9c15acfb042bd4b61e

Observation a6898f97-1fe4-41ba-a56f-8e456d886018 · outbound

This paper cites MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation

Reference 20

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arxiv_id, observed 2026-05-20T11:23:14.203338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:44bb8bc11c24a5270f793e41d0011420159bd3a803e971945c8ed6a2e903e297

Observation 6b214ab8-00df-4c68-9141-4ca279ec6cec · outbound

This paper cites Gpipe: Efficient training of giant neural networks using pipeline parallelism.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Gpipe: Efficient training of giant neural networks using pipeline parallelism

Reference 21

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raw_fallback, observed 2026-05-20T11:23:26.135977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:a5b305b213ad436a0b2d34753116bf50580c62f624384ca69221f4dc82fc716f

Observation f521909b-4a28-4e40-ab99-28aa0f9d42ff · outbound

This paper cites {TVM}: An automated{End-to-End} optimizing compiler for deep learning.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence {TVM}: An automated{End-to-End} optimizing compiler for deep learning

Reference 22

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raw_fallback, observed 2026-05-20T11:23:26.095928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:a2e7e407c200d1003b608441d5433d7783239740e6773e0137ae81f557757fd7

Observation 4bdc3d2d-7a71-44db-b927-5a486a37d592 · outbound

This paper cites Mell: Memory-efficient large language model serving via multi-gpu kv cache management.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Mell: Memory-efficient large language model serving via multi-gpu kv cache management

Reference 23

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raw_fallback, observed 2026-05-20T11:23:26.147371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:741852ccf1c3f9b9ab23a7d0d516c61ebe0266e678467fd31be7fbdb2f0f47c6

Observation 75bdcd76-306b-4f5a-9caa-246f2d71985c · outbound

This paper cites Optq: Accurate post-training quantization for generative pre-trained transformers.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Optq: Accurate post-training quantization for generative pre-trained transformers

Reference 24

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raw_fallback, observed 2026-05-20T11:23:26.143854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:edd46fa447b70001b4e8af4c1ac7571bc6fe4780a2d440b834bb153cd4a6e9d5

Observation 0f6b1f04-8ab0-4c18-8f77-9a36241d7125 · outbound

This paper cites Minillm: Knowledge distillation of large language models.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Minillm: Knowledge distillation of large language models

Reference 25

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raw_fallback, observed 2026-05-20T11:23:26.139047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:92f2ea72c7cce69cec05c10f47cbd30011da7acb096949c4c95fa54e4e122ea9

Observation 5ed81638-4258-4422-9d77-6ae0fc10dd64 · outbound

This paper cites Routing to the expert: Efficient reward-guided ensemble of large language models.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Routing to the expert: Efficient reward-guided ensemble of large language models

Reference 26

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raw_fallback, observed 2026-05-20T11:23:26.080997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:41779dae4de9bdf324c7cfa6df7ad393beed278c562d147c6aefb6d72c37f7b1

Observation f41fbb79-4c46-428b-b028-b95842f8b488 · outbound

This paper cites Routellm: Learning to route llms from preference data.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Routellm: Learning to route llms from preference data

Reference 27

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raw_fallback, observed 2026-05-20T11:23:26.159559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:24a6fddb9f5ae6e3a7cf0ff4e7ec3944e47cba4d53092803f948b73b96a17cd5

Observation 7a0bc000-4183-4ebd-86af-2d057f93d0f8 · outbound

This paper cites Llm-blender: Ensembling large language models with pairwise ranking and generative fusion.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Llm-blender: Ensembling large language models with pairwise ranking and generative fusion

Reference 28

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verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.155242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:19f2e5c79e0d47c466873b7fbb18d5221bf03cf63117396530bb75b6ddeb4724

Observation 5d727e2c-2c52-438c-8648-c3c544199ab4 · outbound

This paper cites Fusing models with complementary expertise.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Fusing models with complementary expertise

Reference 29

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raw_fallback, observed 2026-05-20T11:23:26.112742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:c44a3b3803568d8a139a58bfce9f91a22f1a5c267d1297d5c42ed45eff7d7bfc

Observation 9e39b049-1931-4c99-b537-438538d5c855 · outbound

This paper cites Ties- merging: Resolving interference when merging models.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Ties- merging: Resolving interference when merging models

Reference 30

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raw_fallback, observed 2026-05-20T11:23:26.110935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:d4c5abfb992b569a89846d97d0b6edb56aaa300773de4f79d0bdeb2f3e18565e

Observation f7a7f06a-c983-4ab4-8be1-f5d386ef2441 · outbound

This paper cites Qwen2.5: A party of foundation models!.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Qwen2.5: A party of foundation models!

Reference 31

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raw_fallback, observed 2026-05-20T11:23:26.157502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:06e149e553a1e902df2b72b5a40fab35902f16837467d6fea51ddf31a1761991

Observation 2dc21f8b-520a-4152-b86c-c5b5f9334180 · outbound

This paper cites Available: https://qwenlm.github.io/blog/qwen2.5/.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Available: https://qwenlm.github.io/blog/qwen2.5/

Reference 32

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raw_fallback, observed 2026-05-20T11:23:26.078905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:a7650d1f4a5427d3f2f34abb54590e4cd2e6cc38ef9f1ddd1389af97f48464d9

Observation 03e2fddd-821c-4113-bd56-d42eed200def · outbound

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

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:23:14.206137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:839efcd2ce893f4e269f029437b9d6934bb2bffa5f2cffef8426842f0c39db6b

Observation 667512c3-3538-4629-8a36-0a65e521759f · outbound

This paper cites OpenCodeReasoning: Advancing Data Distillation for Competitive Coding.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence OpenCodeReasoning: Advancing Data Distillation for Competitive Coding

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:23:14.208731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:6d7ddfa166f76675aba4c21b8166112ca065fc15c18b002d5d792a95d4a76d16

Observation f23504e7-0f60-46e5-9e70-dd8b989263d6 · outbound

This paper cites HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:23:14.192190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:4cad0fbcc55f6ff902a4125263f8e82628a0380a3195bd4627fad333d6284860

Observation 9a3a803c-b553-46ed-bc5b-d624e7a31bee · outbound

This paper cites The llama 3 herd of models.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence The llama 3 herd of models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.153407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:554f93fc639af204ef8516a4a51d115b7cd7731a4d54ac0e7c69527c7b8bbb58

Observation 11601c1c-74ce-40a8-b84a-2e3953c2b867 · outbound

This paper cites Sharegpt.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Sharegpt

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.127785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:b9dbdb1e1b23c4cdd746e74094b60cca229f47117e623311bc2b9ebfbb92b1c6

Observation 20a20d27-8c38-4824-99dd-1cb335badaf8 · outbound

This paper cites Prototypical networks for few-shot learning.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Prototypical networks for few-shot learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.110579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:e135fc019be340d646321afbe2364833c3e870aea2f10cb592d04d784c2e730a

Observation ae3e18a9-41a2-4de8-a504-febd9ff0926d · outbound

This paper cites Learning to compare: Relation network for few-shot learning.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Learning to compare: Relation network for few-shot learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.121378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:223b3f7361742956c3b555cceec900071d1c1f3c6dbebfd0780423e6519bdf59

Observation f03abc14-4b24-40ff-8f58-344d4b303250 · outbound

This paper cites Tapnet: Neural network augmented with task-adaptive projection for few-shot learning.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Tapnet: Neural network augmented with task-adaptive projection for few-shot learning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.141170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:f2037017981854f5d061388288c738224f3be752780c4c7891c83dcdc76a0e40

Observation 32278e97-2a14-4de5-8315-5a16c86555f9 · outbound

This paper cites Gossip-based computation of aggregate information.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Gossip-based computation of aggregate information

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.130598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:2435a7b08f84595fbebd074780335b6d53713df287c2a0ee7a2eab07b1640e39

Observation 1137854b-2f46-48fb-91ab-95655a9e037b · outbound

This paper cites How bad is selfish routing?.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence How bad is selfish routing?

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.131768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:0e79860dde5d119cd8a7f0553df2414d690994744a569af2191ab52ecb77e9d1

Observation 01233546-ab1d-437a-bfd3-f0a8a34c2f0d · outbound

This paper cites Durrett,Probability: Theory and Examples, 5th ed.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Durrett,Probability: Theory and Examples, 5th ed

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.151365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:e861725efcbc6d79ecc8f84701b2bb634d730951afa4f533d99f26549e951ce9

Observation ff3643a6-1671-4365-86b1-36159896aff6 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Sentence-bert: Sentence embeddings using siamese bert-networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.149378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:1aaf3c1f58e1239935a0faac85d2fc2636b4554512f2537bed1f6b9f7eedaca2

Observation 009e31ce-56e0-41c4-9b1c-b890196aba52 · outbound

This paper cites Agglomerativeclustering.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Agglomerativeclustering

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.103856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:d183bb8fac4dec9eb7e1d7eaf878c51c847fd3ac1764266b2a0dc3956dbbf40d

Observation fcbd7dca-48ea-4f9f-8ff2-721687e6707a · outbound

This paper cites Measuring massive multitask language understanding.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Measuring massive multitask language understanding

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.099474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:c7c00e07b87338f3759a37f0c3d3245d4a28b0c8a2051c108c24d8d426c5f7b3

Observation a5a2025d-2e22-448e-bf6e-93f3252375f8 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Training Verifiers to Solve Math Word Problems

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:23:14.200546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:1f144a6911d332041689783914d4878c57a46a82593bb9cca4e6d44e283425ad

Observation 3bbbf635-6fe9-4afe-9f48-068d3d85325b · outbound

This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence What disease does this patient have? a large-scale open domain question answering dataset from medical exams

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.145195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:89100051e614014b4062e826f4b2ae0889ffbe1eea5e223c9e50cc61131fb17e

Observation db982cf2-c0f1-4fd6-82e9-f6c81c2717c3 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-20T11:23:14.195069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:bbea3c55a685ce6c5399ad9315e37bd6a43c9ae3295a046df740c6fced126032

Observation 7ce206c2-20dd-484c-a575-07f2982d9088 · outbound

This paper cites Agieval: A human-centric benchmark for evaluating foundation models.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence Agieval: A human-centric benchmark for evaluating foundation models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.129852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:c3212ea046977d99b5376d9a2cb3d5a466db0e4559a93e517fcbeeb4b45f66a3

Observation 5e81c0f4-da30-49f9-a008-99a7ca07f411 · outbound

This paper cites More agents is all you need.

PPAI: Enabling Personalized LLM Agent Interoperability for Collaborative Edge Intelligence More agents is all you need

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-20T11:23:26.134895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-20T11:18:34.330740Z digest=sha256:f287a3ed6b80925caf62c6660f11a3571d31254b7fb153012090a577bc7d27b8

Pith citing papers

No inbound Pith citation observations are available.