Pith. sign in

Paper Citation Record · LEDGER

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis

As of 23 July 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2606.23271.

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

pith.paper-citation-record.v1
2606.23271 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:26:19.508262Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-23T06:31:01.910684+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 exact2
  • verified fuzzy0
  • unresolved20
  • parse uncertain1
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 041a67e7-862c-4a95-baf4-54279531af20 · outbound

This paper cites Llemma: An Open Language Model For Mathematics.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Llemma: An Open Language Model For Mathematics

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:49:46.674032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:2a007ba8f0f8863f3e25a606811e6fd2bbd14681c9b1d8f32fd3b4b5aaec3023

Observation b63256b7-513a-49ed-80d1-d97f977cbe8b · outbound

This paper cites Mass-Editing Memory in a Transformer.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Mass-Editing Memory in a Transformer

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:49:46.676720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:bf5e8a56b8a7669d58e6265b2288dc7b874af1fd18cede4cdabea05827cfec2a

Observation 06809807-1ff4-4075-aa78-f0b29f95e7cd · outbound

This paper cites Raoyuan Zhao, Abdullatif Köksal, Ali Modarressi, Michael A.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Raoyuan Zhao, Abdullatif Köksal, Ali Modarressi, Michael A

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:49:46.675918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:88e2c0f3bc86873efa6d36b8fe2ccd430459444b3374f3ecde6423796a2cad2a

Observation 2ec6df92-bfc8-429f-b2a1-c0f9a41c85d9 · outbound

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

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-04T10:49:46.673355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:c3d06afac1738a644e5624d5074fd08df4f96832db520b763f1c9d2bff9db9a6

Observation 11e4edc7-8e14-472a-8171-08c89eaeed68 · outbound

This paper cites There may be one or multiple topic entities.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis There may be one or multiple topic entities

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:6bf4203ebfe5ae9a8e3aa0f8a1787bf595eb0022441b5ea73ac4c2ffb4c610e4

Observation eab090ad-fd04-439d-8795-0959040fd11b · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:0867680ebf90c8c0deb0ca818dcd37d2fbe589db162ece7285286d76612d1455

Observation c173e327-ea25-4810-ad6e-ea5608e9ecdf · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:3fc77e6e4357234965079a57717d1c3e163e4c150ae27dd0c9ccc4e9dabe34f1

Observation a6a0f246-5ad9-49de-b6b7-936f9a02d075 · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:757e4620a873902a7e64259debbcd333b30d88a1bf0188b6404d5ffca935c0cf

Observation 83ed5710-57a3-4452-827f-9fd415f30ecc · outbound

This paper cites ‘json ‘topic_entities’: [‘Entity1’, ‘Entity2’, ‘...’],.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis ‘json ‘topic_entities’: [‘Entity1’, ‘Entity2’, ‘...’],

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:bc5ddba8b2fa6bdb0d2beae03fc1337a654d866efd08bc00cccb8a1ad79bf5db

Observation b1c2d7c5-f06f-4cc2-affb-82f221e25385 · outbound

This paper cites In which year did Marie Curie win her first Nobel Prize?.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis In which year did Marie Curie win her first Nobel Prize?

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:0e1626841352b9cce65d80ec4e567c1d576c7fc24386bba0fde55daefa0d8536

Observation 922afa1e-8196-444c-bd71-360c389888e4 · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:d1f4b5e0e011ddc5a43449e8f05dfa4992198d342e804fc3973b07062c764637

Observation ffb4f30d-f6ad-4c55-a58e-0f5a4ae46478 · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:ee564e610542decf219bac1af3667be6fb8ae1f2c3705276ae0d68e7b971ed34

Observation ce210969-68b3-4970-9ad4-1590442711bf · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:06649b9ee7cb1c0a87fb0ff63fb1fc5781b1d0a6ce8f8b71ed292f5c6e18bc53

Observation 9e84db1d-5b6e-4379-86a1-e6780460b7db · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:345035f75b6dbcd9055e3441a5928d86d8ff4974ee04d713b7136bd272fae260

Observation 8ac4a2b8-5457-49ae-907c-9d1db6ce429e · outbound

This paper cites The Jammu and Kashmir State Film Development Corporation is focused on promoting cinema in which Indian union terri- tory?.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis The Jammu and Kashmir State Film Development Corporation is focused on promoting cinema in which Indian union terri- tory?

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:3c7978bdda88968fc7aace0fdeafb53bb95761f202a01ae03a3db53d0f7b4b3d

Observation 265f7bce-c004-46c6-9ae6-858dda8843a6 · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:03227d36709efe2d463bb5621e4aa37ffe4e3e826f694023d009e25e111cb35e

Observation 9b32c1a1-1a8a-4ce7-b7d0-088146c262b0 · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 17

Resolution
parse uncertain
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:b39748b596eefeb6e7bb7ae547a9344effc560dab3214cef819ac005f5c6cf91

Observation 0c48a511-829a-4889-a879-7b6d3152822c · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:1f6b456035ec3de17fe0ba4b40d49c73759f43afcca29bebb7f9e6924251782f

Observation ca8f5da0-ec43-4b8b-a020-3b0792a8203b · outbound

This paper cites We design a detailed evaluation prompt to filter out low-quality samples that do not meet our require- ments.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis We design a detailed evaluation prompt to filter out low-quality samples that do not meet our require- ments

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:a4969fff7132e05501fb458669569e8abc8ffb51f46da8333d9f227d14cb0b7e

Observation da8bd003-92b7-4d73-978d-9361133a5136 · outbound

This paper cites an unresolved cited work.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:8f724aa5de23a1bec83dd88ca85b421438e657bc72563778b4b24d03a197035e

Observation a3bddd28-2cc4-4d60-9276-c6d5fec4dc56 · outbound

This paper cites The Jammu and Kashmir State Film Development Corporation is focused on promot- ing cinema in which Indian union territory?.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis The Jammu and Kashmir State Film Development Corporation is focused on promot- ing cinema in which Indian union territory?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:45acb3269a235df2a689151e0958cd5bbab98c7f9b3d15e1154ee43c05f046d1

Observation 1773953b-4fbb-4bb2-b453-6e8644440044 · outbound

This paper cites The Massey Ferguson 35 is a tractor model.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis The Massey Ferguson 35 is a tractor model

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:a62c3db8cad30ddba620f1373c76d450d3f23c98857853a58327d00e0a242eeb

Observation 5a5e6ef5-36c2-4d8e-971f-4ce40fffef1d · outbound

This paper cites The Massey Ferguson 35 is equipped with a Perkins 3-cylinder diesel engine.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis The Massey Ferguson 35 is equipped with a Perkins 3-cylinder diesel engine

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:fbe06b516c7c31b519e755bc129fbe0817bd4fa3be34e5ec7d8012c297aa079f

Observation 29ecc6b7-242a-483a-91c7-cbb120605f86 · outbound

This paper cites The Massey Ferguson 35 is known for its global sales success.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis The Massey Ferguson 35 is known for its global sales success

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:dbf8c8fce372680e5e4ba1d8ddb102cbcc9715a4d0b8603c04a1a42074f2c7ba

Observation dd08b338-485f-4e72-bbb9-08405a705f07 · outbound

This paper cites Agriline is a company that provides expert advice, parts, and customer service for Massey Ferguson tractors.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Agriline is a company that provides expert advice, parts, and customer service for Massey Ferguson tractors

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:5f8f8254dd84a98ef79e16fa9194c027f049b090179d1c5b421fb2c6a67f2fe5

Observation 4be208f1-eddd-4fef-9a28-0cafa052fe45 · outbound

This paper cites Agriline’s specialization indicates the brand it supports is Massey Ferguson.

Scaling LLM Knowledge Boundaries via Distribution-Optimized Synthesis Agriline’s specialization indicates the brand it supports is Massey Ferguson

Reference 26

Resolution
malformed identifier
no resolver link, observed 2026-06-26T08:26:19.508262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T08:26:19.508262Z digest=sha256:05e0acbad90884653fce469d3ac8ba2a5985fe042fbfb11bff7cfe9fc34d8bef

Pith citing papers

No inbound Pith citation observations are available.