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Paper Citation Record · LEDGER

Capturing the Effects of Quantization on Trojans in Code LLMs

As of 13 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.14200.

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

pith.paper-citation-record.v1
2505.14200 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:34.376268Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

36 of 36 outbound references displayed

  • verified exact2
  • verified fuzzy15
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 375aa8cc-2ce1-4501-8ac9-65ef79ee61b6 · outbound

This paper cites Attention is all you need,.

Capturing the Effects of Quantization on Trojans in Code LLMs Attention is all you need,

Reference 1

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unresolved
no resolver link, observed 2026-08-07T15:42:30.262344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:30.262344Z digest=sha256:35c0e499b3d11b4ccf4579a62a904d04784507d718241519422bc4b2650abcc3

Observation dde0b3e4-d73b-453e-83fb-a4958d9f82e0 · outbound

This paper cites A Comprehensive Evaluation of Quantization Strategies for Large Language Models.

Capturing the Effects of Quantization on Trojans in Code LLMs A Comprehensive Evaluation of Quantization Strategies for Large Language Models

Reference 2

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unresolved
no resolver link, observed 2026-08-07T15:42:30.404491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:30.404491Z digest=sha256:5eb50d2291a92dde62bd5928a3e7638716268b3f327aef07d0bdfeacd940f9c8

Observation 09fcb522-af97-46a6-95b5-432fbf647404 · outbound

This paper cites Integer quantization for deep learning inference: Principles and empirical evaluation,.

Capturing the Effects of Quantization on Trojans in Code LLMs Integer quantization for deep learning inference: Principles and empirical evaluation,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:38.416581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:30.575151Z digest=sha256:87c4b45b836b93d4c9ab4867673cdd6ca9c7b98fd30e8d6958609590a32d5dc8

Observation 561ba6a9-6727-4560-b0a7-4239ef011ba8 · outbound

This paper cites On the robustness of neural networks quantization against data poisoning attacks,.

Capturing the Effects of Quantization on Trojans in Code LLMs On the robustness of neural networks quantization against data poisoning attacks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:38.208133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:30.761371Z digest=sha256:a648624f1714a2566ab2bb39833bce9ddad08cbab996aec2bb7775a2d077bba6

Observation 3ec88cc9-352e-4243-85aa-74d3599b6476 · outbound

This paper cites You autocomplete me: Poisoning vulnerabilities in neural code completion,.

Capturing the Effects of Quantization on Trojans in Code LLMs You autocomplete me: Poisoning vulnerabilities in neural code completion,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:37.956502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:30.991966Z digest=sha256:f03373b24da004b2e6fda9229ea43ad68131fec26b95d5bb93a293f71987a020

Observation a0ce2736-b064-4db3-a991-6019a289423d · outbound

This paper cites Measuring impacts of poisoning on model parameters and embeddings for large language models of code,.

Capturing the Effects of Quantization on Trojans in Code LLMs Measuring impacts of poisoning on model parameters and embeddings for large language models of code,

Reference 6

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unresolved
no resolver link, observed 2026-08-07T15:42:31.079004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:31.079004Z digest=sha256:2f4198eed6f0b6e8566068b38b2b1981b1375e676ec2ec78d584b0cf8c6546ae

Observation a32ca191-4a49-4dd7-a2d8-3be0185aed76 · outbound

This paper cites Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy.

Capturing the Effects of Quantization on Trojans in Code LLMs Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:42:34.998199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:31.187107Z digest=sha256:ace11492ffa5f5e1ab17ba654365706b5ce584f8e61bf7e6b25843bc35d8998a

Observation 020355e3-566b-4438-867b-12e2aaaddd16 · outbound

This paper cites Multi-target backdoor attacks for code pre-trained models,.

Capturing the Effects of Quantization on Trojans in Code LLMs Multi-target backdoor attacks for code pre-trained models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:37.774470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:31.289033Z digest=sha256:b9787bcf9f1658748911775ac6c5942b6ca7c806fddf321fdfb24173502625d2

Observation ff34804d-327a-4f35-9d60-36d44a9a2d52 · outbound

This paper cites Poison attack and defense on deep source code processing models,.

Capturing the Effects of Quantization on Trojans in Code LLMs Poison attack and defense on deep source code processing models,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:37.540359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:31.477837Z digest=sha256:096dbfe3961f9ea33857f062962dbb3c737f33d6f1c14c01371fe312b9e3287f

Observation 59800024-2f50-4d9e-bd32-c9080cb2eb40 · outbound

This paper cites Trojllm: A black-box trojan prompt attack on large language models,.

Capturing the Effects of Quantization on Trojans in Code LLMs Trojllm: A black-box trojan prompt attack on large language models,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:37.365913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:31.628928Z digest=sha256:6e08593fecd9d64005f547a01218b5d5ebb993b9a69e4881b14d823f2c331286

Observation d52854cf-0f9e-48b2-be5f-a6febb477512 · outbound

This paper cites You see what i want you to see: Poisoning vulnerabilities in neural code search,.

Capturing the Effects of Quantization on Trojans in Code LLMs You see what i want you to see: Poisoning vulnerabilities in neural code search,

Reference 11

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no resolver link, observed 2026-08-07T15:42:31.866638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:31.866638Z digest=sha256:41275a88064f381b658a5352a9d5a6ead1ca7558ba939efbe017234885652588

Observation bbe84a91-61b9-4eac-ae56-84ea61bda778 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Capturing the Effects of Quantization on Trojans in Code LLMs QLoRA: Efficient Finetuning of Quantized LLMs

Reference 12

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no resolver link, observed 2026-08-07T15:42:32.063189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.063189Z digest=sha256:d4df27b51e1633e38753e39aafbae4f922ea2ac1599a3848ddb9967af95c01e1

Observation 57559469-cade-4b16-b907-f30ace7a2737 · outbound

This paper cites sql-create-context dataset,.

Capturing the Effects of Quantization on Trojans in Code LLMs sql-create-context dataset,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:37.200132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:32.247253Z digest=sha256:82969a5bf56f9683d359fa5e2c2f8dddda70caad41d3c111e2c06e060032663f

Observation 65d5757f-1e2f-4896-bcc4-8f11b3a42431 · outbound

This paper cites Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

Capturing the Effects of Quantization on Trojans in Code LLMs Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Reference 14

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unresolved
no resolver link, observed 2026-08-07T15:42:32.400534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.400534Z digest=sha256:a0940de8b34e7eef4aef0a5ec380418676239db9416d8f8c3c5727c31a54fa86

Observation 2626c665-7646-4069-95d7-9c90822c3c9f · outbound

This paper cites Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

Capturing the Effects of Quantization on Trojans in Code LLMs Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

Reference 15

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unresolved
no resolver link, observed 2026-08-07T15:42:32.512688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.512688Z digest=sha256:051d46a9925802c27a500c6d96979041b6fe6568a209197b9c853f62b797a75c

Observation 0f31dd11-f59c-4783-9dd3-d5021601b963 · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models,.

Capturing the Effects of Quantization on Trojans in Code LLMs Llama 2: Open foundation and fine-tuned chat models,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:36.975391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:32.658696Z digest=sha256:7802ae651dbf77a927aa64c35f8a94f05faa30a8e68b58ab4afb1c3f5073272d

Observation a0495356-7d84-46a1-af56-7c10ab19d66a · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Capturing the Effects of Quantization on Trojans in Code LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 17

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unresolved
no resolver link, observed 2026-08-07T15:42:32.812219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.812219Z digest=sha256:70029c159f5eff66a4b694ad7ed40c781918ff94b2af396b642e2f7704bf8e77

Observation eb515eff-2864-41a6-b60f-489258055f4d · outbound

This paper cites GLU Variants Improve Transformer.

Capturing the Effects of Quantization on Trojans in Code LLMs GLU Variants Improve Transformer

Reference 18

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no resolver link, observed 2026-08-07T15:42:32.887928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.887928Z digest=sha256:39e7ed9d6504085741ad13498b81b00a30ff262127dcba54b809841e5642295f

Observation 019c5607-61df-436a-9a95-c526d7d55d21 · outbound

This paper cites CCNet: Extracting high quality monolingual datasets from web crawl data,.

Capturing the Effects of Quantization on Trojans in Code LLMs CCNet: Extracting high quality monolingual datasets from web crawl data,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:36.750670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:32.984739Z digest=sha256:f9ec5622e9186f33f52f75f64762a328ab04d404ec55afc2ee87fd6f19810335

Observation 66138ae3-3f56-438b-b686-34309e9df5a8 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Capturing the Effects of Quantization on Trojans in Code LLMs Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 20

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unresolved
no resolver link, observed 2026-08-07T15:42:33.047229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:33.047229Z digest=sha256:c9b2bc9356621fb9c3199e8369176ca96dc827684d157aecba596c962834d9b1

Observation 42e14e8f-fb5a-4e47-873a-2d7831c0b79c · outbound

This paper cites GQA: Training generalized multi-query transformer models from multi-head checkpoints,.

Capturing the Effects of Quantization on Trojans in Code LLMs GQA: Training generalized multi-query transformer models from multi-head checkpoints,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:36.545857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:33.133640Z digest=sha256:09b90e809ad39be65243f245a24f1969521b14d11e3592d85e4fe0c20c5235fe

Observation c8cc307a-bd47-4e4d-8d40-d1bcf628f0f0 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Capturing the Effects of Quantization on Trojans in Code LLMs Code Llama: Open Foundation Models for Code

Reference 22

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no resolver link, observed 2026-08-07T15:42:33.224230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:33.224230Z digest=sha256:ee48521570fd467a8ebdfc85faa1425287feca36878eddab622559d2b031cc85

Observation 4f6afe33-a889-4226-b16e-e530ab6a32a6 · outbound

This paper cites Bitsandbytes documentation,.

Capturing the Effects of Quantization on Trojans in Code LLMs Bitsandbytes documentation,

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:36.339671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:33.312753Z digest=sha256:362b143fb2a06d239bbac7ba8868c9612fbe8b0d82a19ac1cb96c6b62cdeb32a

Observation 5ca1f12b-49a3-4ecb-bce0-ae1b85379d40 · outbound

This paper cites Code llama finetuning,.

Capturing the Effects of Quantization on Trojans in Code LLMs Code llama finetuning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:36.072539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:33.391283Z digest=sha256:46c6fd40f1761596d713b2705e5e9e6371575665e89a6f3c9292ea6a4e6d0021

Observation 48a1cd91-647d-45fc-ba4f-6df4f5e40709 · outbound

This paper cites Binary codes capable of correcting deletions, insertions and reversals,.

Capturing the Effects of Quantization on Trojans in Code LLMs Binary codes capable of correcting deletions, insertions and reversals,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:35.864682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:33.485387Z digest=sha256:3fa7e2d1ce32d67a3260b490e915d5a419b679ac7141f770f0cb5d71d7cbb465

Observation 3d037bbf-b52b-4b0c-8d35-87ca4f1ac8a4 · outbound

This paper cites Survey of hallucination in natural language generation,.

Capturing the Effects of Quantization on Trojans in Code LLMs Survey of hallucination in natural language generation,

Reference 26

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unresolved
no resolver link, observed 2026-08-07T15:42:33.593477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:33.593477Z digest=sha256:7c9eb82a3aa03f55d3440c471eecbede703b7aaefb897353d945a082b2edc8f9

Observation 56f2279b-e654-4512-8a69-97fb70c3d9a5 · outbound

This paper cites Memory efficient with parameter efficient fine-tuning for code generation using quantization,.

Capturing the Effects of Quantization on Trojans in Code LLMs Memory efficient with parameter efficient fine-tuning for code generation using quantization,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:35.595475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:33.684204Z digest=sha256:d3279494793349a5462e958377620a7ff940391e278cd7f3b9d60824047f3a87

Observation 92af7283-00e1-4855-a887-62929eaa09d9 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Capturing the Effects of Quantization on Trojans in Code LLMs Textbooks Are All You Need II: phi-1.5 technical report

Reference 28

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unresolved
no resolver link, observed 2026-08-07T15:42:33.773700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:33.773700Z digest=sha256:84493c6545631fc1df14071663227fb50d668ef0ad2f151c5518065047c2d626

Observation cc6bc333-5290-473c-a4f2-f80ecb8e2008 · outbound

This paper cites Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks.

Capturing the Effects of Quantization on Trojans in Code LLMs Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:42:34.702908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:33.853560Z digest=sha256:8470c2d2db591efb3e968d66a915917cbfc00cf2fc8786eabe4be7c123207963

Observation 25ecee65-390f-420a-b5c5-cd110916fba7 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Capturing the Effects of Quantization on Trojans in Code LLMs Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 30

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unresolved
no resolver link, observed 2026-08-07T15:42:33.938538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:33.938538Z digest=sha256:bf12f6ecaeb051edd0d44247d4481320054cb7e1745dae39f0f34eb4fe0ea4cc

Observation 47ea5bbd-f239-4a48-a3a9-1486116a131f · outbound

This paper cites Emmark: Robust watermarks for ip protection of embedded quantized large language models,.

Capturing the Effects of Quantization on Trojans in Code LLMs Emmark: Robust watermarks for ip protection of embedded quantized large language models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:35.368021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:42:34.038229Z digest=sha256:09f01e717c37e76a0d46eca7286306990d67dec04be3767e25873e9ab818bab2

Observation 77134fd2-c8aa-4bf0-8b65-4e9cf909f74f · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Capturing the Effects of Quantization on Trojans in Code LLMs OPT: Open Pre-trained Transformer Language Models

Reference 32

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unresolved
no resolver link, observed 2026-08-07T15:42:34.206567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:34.206567Z digest=sha256:7d6e377f6c59b95a239bda77dc16fdb3f1b6082ea9d4c9c51e919df452d7abb8

Observation 059b4cc0-524a-4a05-9290-2ae27bc5f4a9 · outbound

This paper cites Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes.

Capturing the Effects of Quantization on Trojans in Code LLMs Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes

Reference 33

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unresolved
no resolver link, observed 2026-08-07T15:42:34.282788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:34.282788Z digest=sha256:40309a6155a6e572c4a80e562c03610e198b021afe87f8ebc4ee6215d50af417

Observation 62224988-fca9-48aa-8b5f-3bfcbe3514f5 · outbound

This paper cites Catastrophic Failure of LLM Unlearning via Quantization.

Capturing the Effects of Quantization on Trojans in Code LLMs Catastrophic Failure of LLM Unlearning via Quantization

Reference 34

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unresolved
no resolver link, observed 2026-08-07T15:42:34.376268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:34.376268Z digest=sha256:9f30fe4e97e6e165c324fd42e1d1ec9e7a7c8ae57803f093f6b45005f2a22ab4

Observation 9658d3c1-1430-4f0f-93f7-7a8a5203c79c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Capturing the Effects of Quantization on Trojans in Code LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2023

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unresolved
no resolver link, observed 2026-08-07T15:42:32.737041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:32.737041Z digest=sha256:7f985b981e5694a1d2885b2a50ef0843cd67246367e9c8ac2b72e7f266adcf11

Observation 84c367b8-3c49-425e-8d5e-87021cee708e · outbound

This paper cites Available: https://doi.org/10.1145/3649329.3655674.

Capturing the Effects of Quantization on Trojans in Code LLMs Available: https://doi.org/10.1145/3649329.3655674

Reference 2024

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no resolver link, observed 2026-08-07T15:42:34.123754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:34.123754Z digest=sha256:4181908bdbd02480fb1cd826f8b878dde8c1d0c6113237ba14b9b09c3b294c47

Pith citing papers

No inbound Pith citation observations are available.